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-rw-r--r--alc/uhjfilter.cpp131
1 files changed, 131 insertions, 0 deletions
diff --git a/alc/uhjfilter.cpp b/alc/uhjfilter.cpp
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+++ b/alc/uhjfilter.cpp
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+
+#include "config.h"
+
+#include "uhjfilter.h"
+
+#include <algorithm>
+
+#include "alu.h"
+
+namespace {
+
+/* This is the maximum number of samples processed for each inner loop
+ * iteration. */
+#define MAX_UPDATE_SAMPLES 128
+
+
+constexpr ALfloat Filter1CoeffSqr[4] = {
+ 0.479400865589f, 0.876218493539f, 0.976597589508f, 0.997499255936f
+};
+constexpr ALfloat Filter2CoeffSqr[4] = {
+ 0.161758498368f, 0.733028932341f, 0.945349700329f, 0.990599156685f
+};
+
+void allpass_process(AllPassState *state, ALfloat *dst, const ALfloat *src, const ALfloat aa, ALsizei todo)
+{
+ ALfloat z1{state->z[0]};
+ ALfloat z2{state->z[1]};
+ auto proc_sample = [aa,&z1,&z2](ALfloat input) noexcept -> ALfloat
+ {
+ ALfloat output = input*aa + z1;
+ z1 = z2; z2 = output*aa - input;
+ return output;
+ };
+ std::transform(src, src+todo, dst, proc_sample);
+ state->z[0] = z1;
+ state->z[1] = z2;
+}
+
+} // namespace
+
+
+/* NOTE: There seems to be a bit of an inconsistency in how this encoding is
+ * supposed to work. Some references, such as
+ *
+ * http://members.tripod.com/martin_leese/Ambisonic/UHJ_file_format.html
+ *
+ * specify a pre-scaling of sqrt(2) on the W channel input, while other
+ * references, such as
+ *
+ * https://en.wikipedia.org/wiki/Ambisonic_UHJ_format#Encoding.5B1.5D
+ * and
+ * https://wiki.xiph.org/Ambisonics#UHJ_format
+ *
+ * do not. The sqrt(2) scaling is in line with B-Format decoder coefficients
+ * which include such a scaling for the W channel input, however the original
+ * source for this equation is a 1985 paper by Michael Gerzon, which does not
+ * apparently include the scaling. Applying the extra scaling creates a louder
+ * result with a narrower stereo image compared to not scaling, and I don't
+ * know which is the intended result.
+ */
+
+void Uhj2Encoder::encode(FloatBufferLine &LeftOut, FloatBufferLine &RightOut, FloatBufferLine *InSamples, const ALsizei SamplesToDo)
+{
+ alignas(16) ALfloat D[MAX_UPDATE_SAMPLES], S[MAX_UPDATE_SAMPLES];
+ alignas(16) ALfloat temp[MAX_UPDATE_SAMPLES];
+
+ ASSUME(SamplesToDo > 0);
+
+ auto winput = InSamples[0].cbegin();
+ auto xinput = InSamples[1].cbegin();
+ auto yinput = InSamples[2].cbegin();
+ for(ALsizei base{0};base < SamplesToDo;)
+ {
+ const ALsizei todo{mini(SamplesToDo - base, MAX_UPDATE_SAMPLES)};
+ ASSUME(todo > 0);
+
+ /* D = 0.6554516*Y */
+ std::transform(yinput, yinput+todo, std::begin(temp),
+ [](const float y) noexcept -> float { return 0.6554516f*y; });
+ allpass_process(&mFilter1_Y[0], temp, temp, Filter1CoeffSqr[0], todo);
+ allpass_process(&mFilter1_Y[1], temp, temp, Filter1CoeffSqr[1], todo);
+ allpass_process(&mFilter1_Y[2], temp, temp, Filter1CoeffSqr[2], todo);
+ allpass_process(&mFilter1_Y[3], temp, temp, Filter1CoeffSqr[3], todo);
+ /* NOTE: Filter1 requires a 1 sample delay for the final output, so
+ * take the last processed sample from the previous run as the first
+ * output sample.
+ */
+ D[0] = mLastY;
+ for(ALsizei i{1};i < todo;i++)
+ D[i] = temp[i-1];
+ mLastY = temp[todo-1];
+
+ /* D += j(-0.3420201*W + 0.5098604*X) */
+ std::transform(winput, winput+todo, xinput, std::begin(temp),
+ [](const float w, const float x) noexcept -> float
+ { return -0.3420201f*w + 0.5098604f*x; });
+ allpass_process(&mFilter2_WX[0], temp, temp, Filter2CoeffSqr[0], todo);
+ allpass_process(&mFilter2_WX[1], temp, temp, Filter2CoeffSqr[1], todo);
+ allpass_process(&mFilter2_WX[2], temp, temp, Filter2CoeffSqr[2], todo);
+ allpass_process(&mFilter2_WX[3], temp, temp, Filter2CoeffSqr[3], todo);
+ for(ALsizei i{0};i < todo;i++)
+ D[i] += temp[i];
+
+ /* S = 0.9396926*W + 0.1855740*X */
+ std::transform(winput, winput+todo, xinput, std::begin(temp),
+ [](const float w, const float x) noexcept -> float
+ { return 0.9396926f*w + 0.1855740f*x; });
+ allpass_process(&mFilter1_WX[0], temp, temp, Filter1CoeffSqr[0], todo);
+ allpass_process(&mFilter1_WX[1], temp, temp, Filter1CoeffSqr[1], todo);
+ allpass_process(&mFilter1_WX[2], temp, temp, Filter1CoeffSqr[2], todo);
+ allpass_process(&mFilter1_WX[3], temp, temp, Filter1CoeffSqr[3], todo);
+ S[0] = mLastWX;
+ for(ALsizei i{1};i < todo;i++)
+ S[i] = temp[i-1];
+ mLastWX = temp[todo-1];
+
+ /* Left = (S + D)/2.0 */
+ ALfloat *RESTRICT left = al::assume_aligned<16>(LeftOut.data()+base);
+ for(ALsizei i{0};i < todo;i++)
+ left[i] += (S[i] + D[i]) * 0.5f;
+ /* Right = (S - D)/2.0 */
+ ALfloat *RESTRICT right = al::assume_aligned<16>(RightOut.data()+base);
+ for(ALsizei i{0};i < todo;i++)
+ right[i] += (S[i] - D[i]) * 0.5f;
+
+ winput += todo;
+ xinput += todo;
+ yinput += todo;
+ base += todo;
+ }
+}