ogl_beamforming

Ultrasound Beamforming Implemented with OpenGL
git clone anongit@rnpnr.xyz:ogl_beamforming.git
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math.c (24736B)


      1 /* See LICENSE for license details. */
      2 #include "external/cephes.c"
      3 
      4 function void
      5 fill_kronecker_sub_matrix_f16(f16 *out, i32 out_stride, f16 scale, f16 *b, iv2 b_dim)
      6 {
      7 	for (i32 i = 0; i < b_dim.y; i++) {
      8 		for (i32 j = 0; j < b_dim.x; j += 4, b += 4) {
      9 			out[j + 0] = scale * b[0];
     10 			out[j + 1] = scale * b[1];
     11 			out[j + 2] = scale * b[2];
     12 			out[j + 3] = scale * b[3];
     13 		}
     14 		out += out_stride;
     15 	}
     16 }
     17 
     18 /* NOTE: this won't check for valid space/etc and assumes row major order */
     19 function void
     20 kronecker_product_f16(f16 *out, f16 *a, iv2 a_dim, f16 *b, iv2 b_dim)
     21 {
     22 	iv2 out_dim = {{a_dim.x * b_dim.x, a_dim.y * b_dim.y}};
     23 	assert(out_dim.y % 4 == 0);
     24 	for (i32 i = 0; i < a_dim.y; i++) {
     25 		f16 *vout = out;
     26 		for (i32 j = 0; j < a_dim.x; j++, a++) {
     27 			fill_kronecker_sub_matrix_f16(vout, out_dim.y, *a, b, b_dim);
     28 			vout += b_dim.y;
     29 		}
     30 		out += out_dim.y * b_dim.x;
     31 	}
     32 }
     33 
     34 /* NOTE/TODO: to support even more hadamard sizes use the Paley construction */
     35 function f16 *
     36 make_hadamard_transpose(Arena *a, i32 dim, b32 row_major)
     37 {
     38 	read_only local_persist	f16 hadamard_12_12_transpose[] = {
     39 		1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,
     40 		1, -1, -1,  1, -1, -1, -1,  1,  1,  1, -1,  1,
     41 		1,  1, -1, -1,  1, -1, -1, -1,  1,  1,  1, -1,
     42 		1, -1,  1, -1, -1,  1, -1, -1, -1,  1,  1,  1,
     43 		1,  1, -1,  1, -1, -1,  1, -1, -1, -1,  1,  1,
     44 		1,  1,  1, -1,  1, -1, -1,  1, -1, -1, -1,  1,
     45 		1,  1,  1,  1, -1,  1, -1, -1,  1, -1, -1, -1,
     46 		1, -1,  1,  1,  1, -1,  1, -1, -1,  1, -1, -1,
     47 		1, -1, -1,  1,  1,  1, -1,  1, -1, -1,  1, -1,
     48 		1, -1, -1, -1,  1,  1,  1, -1,  1, -1, -1,  1,
     49 		1,  1, -1, -1, -1,  1,  1,  1, -1,  1, -1, -1,
     50 		1, -1,  1, -1, -1, -1,  1,  1,  1, -1,  1, -1,
     51 	};
     52 
     53 	read_only local_persist f16 hadamard_20_20_transpose[] = {
     54 		1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,
     55 		1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1,
     56 		1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,
     57 		1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,
     58 		1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,
     59 		1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1,
     60 		1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1,
     61 		1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1,
     62 		1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1,
     63 		1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,
     64 		1, -1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1,
     65 		1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,
     66 		1, -1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1,
     67 		1,  1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,
     68 		1,  1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,
     69 		1,  1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,
     70 		1,  1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,
     71 		1, -1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1,
     72 		1, -1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1,
     73 		1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1, -1,  1, -1,  1,  1,  1,  1, -1, -1,
     74 	};
     75 
     76 
     77 	f16 *result = 0;
     78 
     79 	i32 order          = dim;
     80 	b32 power_of_2     = IsPowerOfTwo(dim);
     81 	b32 multiple_of_12 = dim % 12 == 0;
     82 	b32 multiple_of_20 = dim % 20 == 0;
     83 	iz elements        = dim * dim;
     84 
     85 	i32 base_dim = 0;
     86 	if (power_of_2) {
     87 		base_dim  = dim;
     88 	} else if (multiple_of_20 && IsPowerOfTwo(dim / 20)) {
     89 		base_dim  = 20;
     90 		dim      /= 20;
     91 	} else if (multiple_of_12 && IsPowerOfTwo(dim / 12)) {
     92 		base_dim  = 12;
     93 		dim      /= 12;
     94 	}
     95 
     96 	if (power_of_2 && base_dim && arena_capacity(a, f16) >= elements * (1 + (dim != base_dim))) {
     97 		result = push_array(a, f16, elements);
     98 
     99 		Arena tmp = *a;
    100 		f16 *m = dim == base_dim ? result : push_array(&tmp, f16, elements);
    101 
    102 		#define IND(i, j) ((i) * dim + (j))
    103 		m[0] = 1;
    104 		for (i32 k = 1; k < dim; k *= 2) {
    105 			for (i32 i = 0; i < k; i++) {
    106 				for (i32 j = 0; j < k; j++) {
    107 					f16 val = m[IND(i, j)];
    108 					m[IND(i + k, j)]     =  val;
    109 					m[IND(i, j + k)]     =  val;
    110 					m[IND(i + k, j + k)] = -val;
    111 				}
    112 			}
    113 		}
    114 		#undef IND
    115 
    116 		f16 *m2 = 0;
    117 		iv2 m2_dim;
    118 		switch (base_dim) {
    119 		case 12:{ m2 = hadamard_12_12_transpose; m2_dim = (iv2){{12, 12}}; }break;
    120 		case 20:{ m2 = hadamard_20_20_transpose; m2_dim = (iv2){{20, 20}}; }break;
    121 		}
    122 		if (m2) kronecker_product_f16(result, m, (iv2){{dim, dim}}, m2, m2_dim);
    123 	}
    124 
    125 	if (row_major) {
    126 		for (i32 r = 0; r < order; r++)
    127 			for (i32 c = 0; c < order; c++)
    128 				swap(result[r * order + c], result[c * order + r]);
    129 	}
    130 
    131 	return result;
    132 }
    133 
    134 function b32
    135 u128_equal(u128 a, u128 b)
    136 {
    137 	b32 result = a.U64[0] == b.U64[0] && a.U64[1] == b.U64[1];
    138 	return result;
    139 }
    140 
    141 function RangeU64
    142 subrange_n_from_n_m_count(u64 n, u64 n_count, u64 m)
    143 {
    144 	assert(n < n_count);
    145 
    146 	u64 per_lane            = m / n_count;
    147 	u64 leftover            = m - per_lane * n_count;
    148 	u64 leftovers_before_n  = MIN(leftover, n);
    149 	u64 base_index          = n * per_lane + leftovers_before_n;
    150 	u64 one_past_last_index = base_index + per_lane + ((n < leftover) ? 1 : 0);
    151 
    152 	RangeU64 result = {base_index, one_past_last_index};
    153 	return result;
    154 }
    155 
    156 function b32
    157 iv2_equal(iv2 a, iv2 b)
    158 {
    159 	b32 result = a.x == b.x && a.y == b.y;
    160 	return result;
    161 }
    162 
    163 function b32
    164 iv3_equal(iv3 a, iv3 b)
    165 {
    166 	b32 result = a.x == b.x && a.y == b.y && a.z == b.z;
    167 	return result;
    168 }
    169 
    170 function i32
    171 iv3_dimension(iv3 points)
    172 {
    173 	i32 result = (points.x > 1) + (points.y > 1) + (points.z > 1);
    174 	return result;
    175 }
    176 
    177 function v2
    178 clamp_v2_rect(v2 v, Rect r)
    179 {
    180 	v2 result = v;
    181 	result.x = CLAMP(v.x, r.pos.x, r.pos.x + r.size.x);
    182 	result.y = CLAMP(v.y, r.pos.y, r.pos.y + r.size.y);
    183 	return result;
    184 }
    185 
    186 function v2
    187 v2_from_iv2(iv2 v)
    188 {
    189 	v2 result;
    190 	result.E[0] = (f32)v.E[0];
    191 	result.E[1] = (f32)v.E[1];
    192 	return result;
    193 }
    194 
    195 function v2
    196 v2_abs(v2 a)
    197 {
    198 	v2 result;
    199 	result.x = Abs(a.x);
    200 	result.y = Abs(a.y);
    201 	return result;
    202 }
    203 
    204 function v2
    205 v2_scale(v2 a, f32 scale)
    206 {
    207 	v2 result;
    208 	result.x = a.x * scale;
    209 	result.y = a.y * scale;
    210 	return result;
    211 }
    212 
    213 function v2
    214 v2_add(v2 a, v2 b)
    215 {
    216 	v2 result;
    217 	result.x = a.x + b.x;
    218 	result.y = a.y + b.y;
    219 	return result;
    220 }
    221 
    222 function v2
    223 v2_sub(v2 a, v2 b)
    224 {
    225 	v2 result = v2_add(a, v2_scale(b, -1.0f));
    226 	return result;
    227 }
    228 
    229 function v2
    230 v2_mul(v2 a, v2 b)
    231 {
    232 	v2 result;
    233 	result.x = a.x * b.x;
    234 	result.y = a.y * b.y;
    235 	return result;
    236 }
    237 
    238 function v2
    239 v2_div(v2 a, v2 b)
    240 {
    241 	v2 result;
    242 	result.x = a.x / b.x;
    243 	result.y = a.y / b.y;
    244 	return result;
    245 }
    246 
    247 function v2
    248 v2_floor(v2 a)
    249 {
    250 	v2 result;
    251 	result.x = (f32)((i32)a.x);
    252 	result.y = (f32)((i32)a.y);
    253 	return result;
    254 }
    255 
    256 function f32
    257 v2_magnitude_squared(v2 a)
    258 {
    259 	f32 result = a.x * a.x + a.y * a.y;
    260 	return result;
    261 }
    262 
    263 function f32
    264 v2_magnitude(v2 a)
    265 {
    266 	f32 result = sqrt_f32(a.x * a.x + a.y * a.y);
    267 	return result;
    268 }
    269 
    270 function v3
    271 cross(v3 a, v3 b)
    272 {
    273 	v3 result;
    274 	result.x = a.y * b.z - a.z * b.y;
    275 	result.y = a.z * b.x - a.x * b.z;
    276 	result.z = a.x * b.y - a.y * b.x;
    277 	return result;
    278 }
    279 
    280 function v3
    281 v3_from_iv3(iv3 v)
    282 {
    283 	v3 result;
    284 	result.E[0] = (f32)v.E[0];
    285 	result.E[1] = (f32)v.E[1];
    286 	result.E[2] = (f32)v.E[2];
    287 	return result;
    288 }
    289 
    290 function v3
    291 v3_abs(v3 a)
    292 {
    293 	v3 result;
    294 	result.x = Abs(a.x);
    295 	result.y = Abs(a.y);
    296 	result.z = Abs(a.z);
    297 	return result;
    298 }
    299 
    300 function v3
    301 v3_scale(v3 a, f32 scale)
    302 {
    303 	v3 result;
    304 	result.x = scale * a.x;
    305 	result.y = scale * a.y;
    306 	result.z = scale * a.z;
    307 	return result;
    308 }
    309 
    310 function v3
    311 v3_add(v3 a, v3 b)
    312 {
    313 	v3 result;
    314 	result.x = a.x + b.x;
    315 	result.y = a.y + b.y;
    316 	result.z = a.z + b.z;
    317 	return result;
    318 }
    319 
    320 function v3
    321 v3_sub(v3 a, v3 b)
    322 {
    323 	v3 result = v3_add(a, v3_scale(b, -1.0f));
    324 	return result;
    325 }
    326 
    327 function v3
    328 v3_div(v3 a, v3 b)
    329 {
    330 	v3 result;
    331 	result.x = a.x / b.x;
    332 	result.y = a.y / b.y;
    333 	result.z = a.z / b.z;
    334 	return result;
    335 }
    336 
    337 function f32
    338 v3_dot(v3 a, v3 b)
    339 {
    340 	f32 result = a.x * b.x + a.y * b.y + a.z * b.z;
    341 	return result;
    342 }
    343 
    344 function f32
    345 v3_magnitude_squared(v3 a)
    346 {
    347 	f32 result = v3_dot(a, a);
    348 	return result;
    349 }
    350 
    351 function f32
    352 v3_magnitude(v3 a)
    353 {
    354 	f32 result = sqrt_f32(v3_dot(a, a));
    355 	return result;
    356 }
    357 
    358 function v3
    359 v3_normalize(v3 a)
    360 {
    361 	v3 result = v3_scale(a, 1.0f / v3_magnitude(a));
    362 	return result;
    363 }
    364 
    365 function v4
    366 v4_scale(v4 a, f32 scale)
    367 {
    368 	v4 result;
    369 	result.x = scale * a.x;
    370 	result.y = scale * a.y;
    371 	result.z = scale * a.z;
    372 	result.w = scale * a.w;
    373 	return result;
    374 }
    375 
    376 function v4
    377 v4_add(v4 a, v4 b)
    378 {
    379 	v4 result;
    380 	result.x = a.x + b.x;
    381 	result.y = a.y + b.y;
    382 	result.z = a.z + b.z;
    383 	result.w = a.w + b.w;
    384 	return result;
    385 }
    386 
    387 function v4
    388 v4_sub(v4 a, v4 b)
    389 {
    390 	v4 result = v4_add(a, v4_scale(b, -1));
    391 	return result;
    392 }
    393 
    394 function f32
    395 v4_dot(v4 a, v4 b)
    396 {
    397 	f32 result = a.x * b.x + a.y * b.y + a.z * b.z + a.w * b.w;
    398 	return result;
    399 }
    400 
    401 function v4
    402 v4_lerp(v4 a, v4 b, f32 t)
    403 {
    404 	v4 result = v4_add(a, v4_scale(v4_sub(b, a), t));
    405 	return result;
    406 }
    407 
    408 function b32
    409 m4_equal(m4 a, m4 b)
    410 {
    411 	b32 result = 1;
    412 	for EachElement(a.E, it)
    413 		result &= f32_equal(a.E[it], b.E[it]);
    414 	return result;
    415 }
    416 
    417 function m4
    418 m4_identity(void)
    419 {
    420 	m4 result;
    421 	result.c[0] = (v4){{1, 0, 0, 0}};
    422 	result.c[1] = (v4){{0, 1, 0, 0}};
    423 	result.c[2] = (v4){{0, 0, 1, 0}};
    424 	result.c[3] = (v4){{0, 0, 0, 1}};
    425 	return result;
    426 }
    427 
    428 function v4
    429 m4_row(m4 a, u32 row)
    430 {
    431 	v4 result;
    432 	result.E[0] = a.c[0].E[row];
    433 	result.E[1] = a.c[1].E[row];
    434 	result.E[2] = a.c[2].E[row];
    435 	result.E[3] = a.c[3].E[row];
    436 	return result;
    437 }
    438 
    439 function m4
    440 m4_mul(m4 a, m4 b)
    441 {
    442 	m4 result;
    443 	for (u32 i = 0; i < 4; i++) {
    444 		for (u32 j = 0; j < 4; j++) {
    445 			result.c[i].E[j] = v4_dot(m4_row(a, j), b.c[i]);
    446 		}
    447 	}
    448 	return result;
    449 }
    450 
    451 /* NOTE(rnp): based on:
    452  * https://web.archive.org/web/20131215123403/ftp://download.intel.com/design/PentiumIII/sml/24504301.pdf
    453  * TODO(rnp): redo with SIMD as given in the link (but need to rewrite for column-major)
    454  */
    455 function m4
    456 m4_inverse(m4 m)
    457 {
    458 	m4 result;
    459 	result.E[ 0] =  m.E[5] * m.E[10] * m.E[15] - m.E[5] * m.E[11] * m.E[14] - m.E[9] * m.E[6] * m.E[15] + m.E[9] * m.E[7] * m.E[14] + m.E[13] * m.E[6] * m.E[11] - m.E[13] * m.E[7] * m.E[10];
    460 	result.E[ 4] = -m.E[4] * m.E[10] * m.E[15] + m.E[4] * m.E[11] * m.E[14] + m.E[8] * m.E[6] * m.E[15] - m.E[8] * m.E[7] * m.E[14] - m.E[12] * m.E[6] * m.E[11] + m.E[12] * m.E[7] * m.E[10];
    461 	result.E[ 8] =  m.E[4] * m.E[ 9] * m.E[15] - m.E[4] * m.E[11] * m.E[13] - m.E[8] * m.E[5] * m.E[15] + m.E[8] * m.E[7] * m.E[13] + m.E[12] * m.E[5] * m.E[11] - m.E[12] * m.E[7] * m.E[ 9];
    462 	result.E[12] = -m.E[4] * m.E[ 9] * m.E[14] + m.E[4] * m.E[10] * m.E[13] + m.E[8] * m.E[5] * m.E[14] - m.E[8] * m.E[6] * m.E[13] - m.E[12] * m.E[5] * m.E[10] + m.E[12] * m.E[6] * m.E[ 9];
    463 	result.E[ 1] = -m.E[1] * m.E[10] * m.E[15] + m.E[1] * m.E[11] * m.E[14] + m.E[9] * m.E[2] * m.E[15] - m.E[9] * m.E[3] * m.E[14] - m.E[13] * m.E[2] * m.E[11] + m.E[13] * m.E[3] * m.E[10];
    464 	result.E[ 5] =  m.E[0] * m.E[10] * m.E[15] - m.E[0] * m.E[11] * m.E[14] - m.E[8] * m.E[2] * m.E[15] + m.E[8] * m.E[3] * m.E[14] + m.E[12] * m.E[2] * m.E[11] - m.E[12] * m.E[3] * m.E[10];
    465 	result.E[ 9] = -m.E[0] * m.E[ 9] * m.E[15] + m.E[0] * m.E[11] * m.E[13] + m.E[8] * m.E[1] * m.E[15] - m.E[8] * m.E[3] * m.E[13] - m.E[12] * m.E[1] * m.E[11] + m.E[12] * m.E[3] * m.E[ 9];
    466 	result.E[13] =  m.E[0] * m.E[ 9] * m.E[14] - m.E[0] * m.E[10] * m.E[13] - m.E[8] * m.E[1] * m.E[14] + m.E[8] * m.E[2] * m.E[13] + m.E[12] * m.E[1] * m.E[10] - m.E[12] * m.E[2] * m.E[ 9];
    467 	result.E[ 2] =  m.E[1] * m.E[ 6] * m.E[15] - m.E[1] * m.E[ 7] * m.E[14] - m.E[5] * m.E[2] * m.E[15] + m.E[5] * m.E[3] * m.E[14] + m.E[13] * m.E[2] * m.E[ 7] - m.E[13] * m.E[3] * m.E[ 6];
    468 	result.E[ 6] = -m.E[0] * m.E[ 6] * m.E[15] + m.E[0] * m.E[ 7] * m.E[14] + m.E[4] * m.E[2] * m.E[15] - m.E[4] * m.E[3] * m.E[14] - m.E[12] * m.E[2] * m.E[ 7] + m.E[12] * m.E[3] * m.E[ 6];
    469 	result.E[10] =  m.E[0] * m.E[ 5] * m.E[15] - m.E[0] * m.E[ 7] * m.E[13] - m.E[4] * m.E[1] * m.E[15] + m.E[4] * m.E[3] * m.E[13] + m.E[12] * m.E[1] * m.E[ 7] - m.E[12] * m.E[3] * m.E[ 5];
    470 	result.E[14] = -m.E[0] * m.E[ 5] * m.E[14] + m.E[0] * m.E[ 6] * m.E[13] + m.E[4] * m.E[1] * m.E[14] - m.E[4] * m.E[2] * m.E[13] - m.E[12] * m.E[1] * m.E[ 6] + m.E[12] * m.E[2] * m.E[ 5];
    471 	result.E[ 3] = -m.E[1] * m.E[ 6] * m.E[11] + m.E[1] * m.E[ 7] * m.E[10] + m.E[5] * m.E[2] * m.E[11] - m.E[5] * m.E[3] * m.E[10] - m.E[ 9] * m.E[2] * m.E[ 7] + m.E[ 9] * m.E[3] * m.E[ 6];
    472 	result.E[ 7] =  m.E[0] * m.E[ 6] * m.E[11] - m.E[0] * m.E[ 7] * m.E[10] - m.E[4] * m.E[2] * m.E[11] + m.E[4] * m.E[3] * m.E[10] + m.E[ 8] * m.E[2] * m.E[ 7] - m.E[ 8] * m.E[3] * m.E[ 6];
    473 	result.E[11] = -m.E[0] * m.E[ 5] * m.E[11] + m.E[0] * m.E[ 7] * m.E[ 9] + m.E[4] * m.E[1] * m.E[11] - m.E[4] * m.E[3] * m.E[ 9] - m.E[ 8] * m.E[1] * m.E[ 7] + m.E[ 8] * m.E[3] * m.E[ 5];
    474 	result.E[15] =  m.E[0] * m.E[ 5] * m.E[10] - m.E[0] * m.E[ 6] * m.E[ 9] - m.E[4] * m.E[1] * m.E[10] + m.E[4] * m.E[2] * m.E[ 9] + m.E[ 8] * m.E[1] * m.E[ 6] - m.E[ 8] * m.E[2] * m.E[ 5];
    475 
    476 	f32 determinant = m.E[0] * result.E[0] + m.E[1] * result.E[4] + m.E[2] * result.E[8] + m.E[3] * result.E[12];
    477 	determinant = 1.0f / determinant;
    478 	for(i32 i = 0; i < 16; i++)
    479 		result.E[i] *= determinant;
    480 	return result;
    481 }
    482 
    483 function m4
    484 m4_translation(v3 delta)
    485 {
    486 	m4 result;
    487 	result.c[0] = (v4){{1, 0, 0, 0}};
    488 	result.c[1] = (v4){{0, 1, 0, 0}};
    489 	result.c[2] = (v4){{0, 0, 1, 0}};
    490 	result.c[3] = (v4){{delta.x, delta.y, delta.z, 1}};
    491 	return result;
    492 }
    493 
    494 function m4
    495 m4_scale(v3 scale)
    496 {
    497 	m4 result;
    498 	result.c[0] = (v4){{scale.x, 0,       0,       0}};
    499 	result.c[1] = (v4){{0,       scale.y, 0,       0}};
    500 	result.c[2] = (v4){{0,       0,       scale.z, 0}};
    501 	result.c[3] = (v4){{0,       0,       0,       1}};
    502 	return result;
    503 }
    504 
    505 function m4
    506 m4_rotation_about_axis(v3 axis, f32 turns)
    507 {
    508 	assert(f32_equal(v3_magnitude_squared(axis), 1.0f));
    509 	f32 sa  = sin_f32(turns * 2 * PI);
    510 	f32 ca  = cos_f32(turns * 2 * PI);
    511 	f32 mca = 1.0f - ca;
    512 
    513 	f32 x = axis.x, x2 = x * x;
    514 	f32 y = axis.y, y2 = y * y;
    515 	f32 z = axis.z, z2 = z * z;
    516 
    517 	m4 result;
    518 	result.c[0] = (v4){{ca + mca * x2,        mca * x * y - sa * z, mca * x * z + sa * y, 0}};
    519 	result.c[1] = (v4){{mca * x * y + sa * z, ca + mca * y2,        mca * y * z - sa * x, 0}};
    520 	result.c[2] = (v4){{mca * x * z - sa * y, mca * y * z + sa * x, ca + mca * z2,        0}};
    521 	result.c[3] = (v4){{0, 0, 0, 1}};
    522 	return result;
    523 }
    524 
    525 function m4
    526 m4_rotation_about_y(f32 turns)
    527 {
    528 	m4 result = m4_rotation_about_axis((v3){.y = 1.0f}, turns);
    529 	return result;
    530 }
    531 
    532 function m4
    533 y_aligned_volume_transform(v3 extent, v3 translation, f32 rotation_turns)
    534 {
    535 	m4 T = m4_translation(translation);
    536 	m4 R = m4_rotation_about_axis((v3){.y = 1.0f}, rotation_turns);
    537 	m4 S = m4_scale(extent);
    538 	m4 result = m4_mul(T, m4_mul(R, S));
    539 	return result;
    540 }
    541 
    542 function v4
    543 m4_mul_v4(m4 a, v4 v)
    544 {
    545 	v4 result;
    546 	result.x = v4_dot(m4_row(a, 0), v);
    547 	result.y = v4_dot(m4_row(a, 1), v);
    548 	result.z = v4_dot(m4_row(a, 2), v);
    549 	result.w = v4_dot(m4_row(a, 3), v);
    550 	return result;
    551 }
    552 
    553 function v3
    554 m4_mul_v3(m4 a, v3 v)
    555 {
    556 	v3 result = m4_mul_v4(a, (v4){{v.x, v.y, v.z, 1.0f}}).xyz;
    557 	return result;
    558 }
    559 
    560 function m4
    561 orthographic_projection(f32 n, f32 f, f32 t, f32 r)
    562 {
    563 	m4 result;
    564 	f32 a = -2 / (f - n);
    565 	f32 b = - (f + n) / (f - n);
    566 	result.c[0] = (v4){{1 / r, 0,     0,  0}};
    567 	result.c[1] = (v4){{0,     1 / t, 0,  0}};
    568 	result.c[2] = (v4){{0,     0,     a,  0}};
    569 	result.c[3] = (v4){{0,     0,     b,  1}};
    570 	return result;
    571 }
    572 
    573 function m4
    574 perspective_projection(f32 n, f32 f, f32 fov, f32 aspect)
    575 {
    576 	m4 result;
    577 	f32 t = tan_f32(fov / 2.0f);
    578 	f32 r = t * aspect;
    579 	f32 a = -(f + n) / (f - n);
    580 	f32 b = -2 * f * n / (f - n);
    581 	result.c[0] = (v4){{1 / r, 0,     0,  0}};
    582 	result.c[1] = (v4){{0,     1 / t, 0,  0}};
    583 	result.c[2] = (v4){{0,     0,     a, -1}};
    584 	result.c[3] = (v4){{0,     0,     b,  0}};
    585 	return result;
    586 }
    587 
    588 function m4
    589 camera_look_at(v3 camera, v3 point)
    590 {
    591 	v3 orthogonal = {{0, 1.0f, 0}};
    592 	v3 normal     = v3_normalize(v3_sub(camera, point));
    593 	v3 right      = cross(orthogonal, normal);
    594 	v3 up         = cross(normal,     right);
    595 
    596 	v3 translate;
    597 	camera      = v3_sub((v3){0}, camera);
    598 	translate.x = v3_dot(camera, right);
    599 	translate.y = v3_dot(camera, up);
    600 	translate.z = v3_dot(camera, normal);
    601 
    602 	m4 result;
    603 	result.c[0] = (v4){{right.x,     up.x,        normal.x,    0}};
    604 	result.c[1] = (v4){{right.y,     up.y,        normal.y,    0}};
    605 	result.c[2] = (v4){{right.z,     up.z,        normal.z,    0}};
    606 	result.c[3] = (v4){{translate.x, translate.y, translate.z, 1}};
    607 	return result;
    608 }
    609 
    610 /* NOTE(rnp): adapted from "Essential Mathematics for Games and Interactive Applications" (Verth, Bishop) */
    611 function f32
    612 obb_raycast(m4 obb_orientation, v3 obb_size, v3 obb_center, ray r)
    613 {
    614 	v3 p = v3_sub(obb_center, r.origin);
    615 	v3 X = obb_orientation.c[0].xyz;
    616 	v3 Y = obb_orientation.c[1].xyz;
    617 	v3 Z = obb_orientation.c[2].xyz;
    618 
    619 	/* NOTE(rnp): projects direction vector onto OBB axis */
    620 	v3 f;
    621 	f.x = v3_dot(X, r.direction);
    622 	f.y = v3_dot(Y, r.direction);
    623 	f.z = v3_dot(Z, r.direction);
    624 
    625 	/* NOTE(rnp): projects relative vector onto OBB axis */
    626 	v3 e;
    627 	e.x = v3_dot(X, p);
    628 	e.y = v3_dot(Y, p);
    629 	e.z = v3_dot(Z, p);
    630 
    631 	f32 result = 0;
    632 	f32 t[6] = {0};
    633 	for (i32 i = 0; i < 3; i++) {
    634 		if (f32_equal(f.E[i], 0)) {
    635 			if (-e.E[i] - obb_size.E[i] > 0 || -e.E[i] + obb_size.E[i] < 0)
    636 				result = -1.0f;
    637 			f.E[i] = F32_EPSILON;
    638 		}
    639 		t[i * 2 + 0] = (e.E[i] + obb_size.E[i]) / f.E[i];
    640 		t[i * 2 + 1] = (e.E[i] - obb_size.E[i]) / f.E[i];
    641 	}
    642 
    643 	if (result != -1) {
    644 		f32 tmin = MAX(MAX(MIN(t[0], t[1]), MIN(t[2], t[3])), MIN(t[4], t[5]));
    645 		f32 tmax = MIN(MIN(MAX(t[0], t[1]), MAX(t[2], t[3])), MAX(t[4], t[5]));
    646 		if (tmax >= 0 && tmin <= tmax) {
    647 			result = tmin > 0 ? tmin : tmax;
    648 		} else {
    649 			result = -1;
    650 		}
    651 	}
    652 
    653 	return result;
    654 }
    655 
    656 function f32
    657 complex_filter_first_moment(v2 *filter, i32 length, f32 sampling_frequency)
    658 {
    659 	f32 n = 0, d = 0;
    660 	for (i32 i = 0; i < length; i++) {
    661 		f32 t = v2_magnitude_squared(filter[i]);
    662 		n += (f32)i * t;
    663 		d += t;
    664 	}
    665 	f32 result = n / d / sampling_frequency;
    666 	return result;
    667 }
    668 
    669 function f32
    670 real_filter_first_moment(f32 *filter, i32 length, f32 sampling_frequency)
    671 {
    672 	f32 n = 0, d = 0;
    673 	for (i32 i = 0; i < length; i++) {
    674 		f32 t = filter[i] * filter[i];
    675 		n += (f32)i * t;
    676 		d += t;
    677 	}
    678 	f32 result = n / d / sampling_frequency;
    679 	return result;
    680 }
    681 
    682 function f32
    683 tukey_window(f32 t, f32 tapering)
    684 {
    685 	f32 r = tapering;
    686 	f32 result = 1;
    687 	if (t < r / 2)      result = 0.5f * (1 + cos_f32(2 * PI * (t - r / 2)     / r));
    688 	if (t >= 1 - r / 2) result = 0.5f * (1 + cos_f32(2 * PI * (t - 1 + r / 2) / r));
    689 	return result;
    690 }
    691 
    692 /* NOTE(rnp): adapted from "Discrete Time Signal Processing" (Oppenheim) */
    693 function f32 *
    694 kaiser_low_pass_filter(Arena *arena, f32 cutoff_frequency, f32 sampling_frequency, f32 beta, i32 length)
    695 {
    696 	f32 *result = push_array(arena, f32, length);
    697 	f32 wc      = 2 * PI * cutoff_frequency / sampling_frequency;
    698 	f32 a       = (f32)length / 2.0f;
    699 	f32 pi_i0_b = PI * (f32)cephes_i0(beta);
    700 
    701 	for (i32 n = 0; n < length; n++) {
    702 		f32 t       = (f32)n - a;
    703 		f32 impulse = !f32_equal(t, 0) ? sin_f32(wc * t) / t : wc;
    704 		t           = t / a;
    705 		f32 window  = (f32)cephes_i0(beta * sqrt_f32(1 - t * t)) / pi_i0_b;
    706 		result[n]   = impulse * window;
    707 	}
    708 
    709 	return result;
    710 }
    711 
    712 function f32 *
    713 rf_chirp(Arena *arena, f32 min_frequency, f32 max_frequency, f32 sampling_frequency,
    714          i32 length, b32 reverse)
    715 {
    716 	f32 *result = push_array(arena, f32, length);
    717 	for (i32 i = 0; i < length; i++) {
    718 		i32 index = reverse? length - 1 - i : i;
    719 		f32 fc    = min_frequency + (f32)i * (max_frequency - min_frequency) / (2 * (f32)length);
    720 		f32 arg   = 2 * PI * fc * (f32)i / sampling_frequency;
    721 		result[index] = sin_f32(arg) * tukey_window((f32)i / (f32)length, 0.2f);
    722 	}
    723 	return result;
    724 }
    725 
    726 function v2 *
    727 baseband_chirp(Arena *arena, f32 min_frequency, f32 max_frequency, f32 sampling_frequency,
    728                i32 length, b32 reverse, f32 scale)
    729 {
    730 	v2 *result    = push_array(arena, v2, length);
    731 	f32 conjugate = reverse ? -1 : 1;
    732 	for (i32 i = 0; i < length; i++) {
    733 		i32 index = reverse? length - 1 - i : i;
    734 		f32 fc    = min_frequency + (f32)i * (max_frequency - min_frequency) / (2 * (f32)length);
    735 		f32 arg   = 2 * PI * fc * (f32)i / sampling_frequency;
    736 		v2 sample = {{scale * cos_f32(arg), conjugate * scale * sin_f32(arg)}};
    737 		result[index] = v2_scale(sample, tukey_window((f32)i / (f32)length, 0.2f));
    738 	}
    739 	return result;
    740 }
    741 
    742 function iv3
    743 das_output_dimension(iv3 points)
    744 {
    745 	iv3 result;
    746 	result.x = Max(points.x, 1);
    747 	result.y = Max(points.y, 1);
    748 	result.z = Max(points.z, 1);
    749 
    750 	switch (iv3_dimension(result)) {
    751 	case 1:{
    752 		if (result.y > 1) result.x = result.y;
    753 		if (result.z > 1) result.x = result.z;
    754 		result.y = result.z = 1;
    755 	}break;
    756 
    757 	case 2:{
    758 		if (result.x > 1) {
    759 			if (result.z > 1) result.y = result.z;
    760 		} else {
    761 			result.x = result.z;
    762 		}
    763 		result.z = 1;
    764 	}break;
    765 
    766 	case 3:{}break;
    767 
    768 	InvalidDefaultCase;
    769 	}
    770 
    771 	return result;
    772 }
    773 
    774 function m4
    775 das_transform_1d(v3 p1, v3 p2)
    776 {
    777 	v3 extent = v3_sub(p2, p1);
    778 	m4 result = {
    779 		.c[0] = (v4){{extent.x, extent.y, extent.z, 0.0f}},
    780 		.c[1] = (v4){{0.0f, 0.0f, 0.0f, 0.0f}},
    781 		.c[2] = (v4){{0.0f, 0.0f, 0.0f, 0.0f}},
    782 		.c[3] = (v4){{p1.x, p1.y, p1.z, 1.0f}},
    783 	};
    784 	return result;
    785 }
    786 
    787 function m4
    788 das_transform_2d_with_normal(v3 normal, v2 min_coordinate, v2 max_coordinate, f32 offset)
    789 {
    790 	v3 U = {{0, 1.0f, 0}};
    791 	if (f32_equal(v3_dot(U, normal), 1.0f))
    792 		U = (v3){{1.0f, 0, 0}};
    793 
    794 	v3 N = normal;
    795 	v3 V = cross(U, N);
    796 
    797 	v3 min = v3_add(v3_scale(U, min_coordinate.x), v3_scale(V, min_coordinate.y));
    798 	v3 max = v3_add(v3_scale(U, max_coordinate.x), v3_scale(V, max_coordinate.y));
    799 
    800 	v3 extent = v3_sub(max, min);
    801 	U = v3_scale(U, v3_dot(U, extent));
    802 	V = v3_scale(V, v3_dot(V, extent));
    803 
    804 	v3 t = v3_add(v3_scale(N, offset), min);
    805 
    806 	m4 result;
    807 	result.c[0] = (v4){{U.x,  U.y,  U.z,  0.0f}};
    808 	result.c[1] = (v4){{V.x,  V.y,  V.z,  0.0f}};
    809 	result.c[2] = (v4){{N.x,  N.y,  N.z,  0.0f}};
    810 	result.c[3] = (v4){{t.x,  t.y,  t.z,  1.0f}};
    811 
    812 	return result;
    813 }
    814 
    815 function m4
    816 das_transform_2d_xz(v2 min_coordinate, v2 max_coordinate, f32 y_off)
    817 {
    818 	m4 result = das_transform_2d_with_normal((v3){.y = 1.0f}, min_coordinate, max_coordinate, y_off);
    819 	return result;
    820 }
    821 
    822 function m4
    823 das_transform_2d_yz(v2 min_coordinate, v2 max_coordinate, f32 x_off)
    824 {
    825 	m4 result = das_transform_2d_with_normal((v3){.x = 1.0f}, min_coordinate, max_coordinate, x_off);
    826 	return result;
    827 }
    828 
    829 function m4
    830 das_transform_2d_xy(v2 min_coordinate, v2 max_coordinate, f32 z_off)
    831 {
    832 	m4 result = das_transform_2d_with_normal((v3){.z = 1.0f}, min_coordinate, max_coordinate, z_off);
    833 	return result;
    834 }
    835 
    836 function m4
    837 das_transform_3d(v3 min_coordinate, v3 max_coordinate)
    838 {
    839 	v3 extent = v3_sub(max_coordinate, min_coordinate);
    840 	m4 result;
    841 	result.c[0] = (v4){{extent.x,         0.0f,             0.0f,             0.0f}};
    842 	result.c[1] = (v4){{0.0f,             extent.y,         0.0f,             0.0f}};
    843 	result.c[2] = (v4){{0.0f,             0.0f,             extent.z,         0.0f}};
    844 	result.c[3] = (v4){{min_coordinate.x, min_coordinate.y, min_coordinate.z, 1.0f}};
    845 	return result;
    846 }
    847 
    848 function m4
    849 das_transform(v3 min_coordinate, v3 max_coordinate, iv3 *points)
    850 {
    851 	m4 result;
    852 
    853 	*points = das_output_dimension(*points);
    854 
    855 	switch (iv3_dimension(*points)) {
    856 	case 1:{result = das_transform_1d(      min_coordinate,     max_coordinate);    }break;
    857 	case 2:{result = das_transform_2d_xz(XY(min_coordinate), XY(max_coordinate), 0);}break;
    858 	case 3:{result = das_transform_3d(      min_coordinate,     max_coordinate);    }break;
    859 	}
    860 
    861 	return result;
    862 }
    863 
    864 function v2
    865 plane_uv(v3 point, v3 U, v3 V)
    866 {
    867 	v2 result;
    868 	result.x = v3_dot(U, point) / v3_dot(U, U);
    869 	result.y = v3_dot(V, point) / v3_dot(V, V);
    870 	return result;
    871 }
    872 
    873 function v4
    874 hsv_to_rgb(v4 hsv)
    875 {
    876 	/* f(k(n))   = V - V*S*max(0, min(k, min(4 - k, 1)))
    877 	 * k(n)      = fmod((n + H * 6), 6)
    878 	 * (R, G, B) = (f(n = 5), f(n = 3), f(n = 1))
    879 	 */
    880 	alignas(16) f32 nval[4] = {5.0f, 3.0f, 1.0f, 0.0f};
    881 	f32x4 n   = load_f32x4(nval);
    882 	f32x4 H   = dup_f32x4(hsv.x);
    883 	f32x4 S   = dup_f32x4(hsv.y);
    884 	f32x4 V   = dup_f32x4(hsv.z);
    885 	f32x4 six = dup_f32x4(6);
    886 
    887 	f32x4 t   = add_f32x4(n, mul_f32x4(six, H));
    888 	f32x4 rem = floor_f32x4(div_f32x4(t, six));
    889 	f32x4 k   = sub_f32x4(t, mul_f32x4(rem, six));
    890 
    891 	t = min_f32x4(sub_f32x4(dup_f32x4(4), k), dup_f32x4(1));
    892 	t = max_f32x4(dup_f32x4(0), min_f32x4(k, t));
    893 	t = mul_f32x4(t, mul_f32x4(S, V));
    894 
    895 	v4 rgba;
    896 	store_f32x4(rgba.E, sub_f32x4(V, t));
    897 	rgba.a = hsv.a;
    898 	return rgba;
    899 }
    900 
    901 function f32
    902 ease_in_out_cubic(f32 t)
    903 {
    904 	f32 result;
    905 	if (t < 0.5f) {
    906 		result = 4.0f * t * t * t;
    907 	} else {
    908 		t      = -2.0f * t + 2.0f;
    909 		result =  1.0f - t * t * t / 2.0f;
    910 	}
    911 	return result;
    912 }
    913 
    914 function f32
    915 ease_in_out_quartic(f32 t)
    916 {
    917 	f32 result;
    918 	if (t < 0.5f) {
    919 		result = 8.0f * t * t * t * t;
    920 	} else {
    921 		t      = -2.0f * t + 2.0f;
    922 		result =  1.0f - t * t * t * t / 2.0f;
    923 	}
    924 	return result;
    925 }