aboutsummaryrefslogtreecommitdiffstats
path: root/src
diff options
context:
space:
mode:
authorMatthias P. Braendli <matthias.braendli@mpb.li>2014-10-10 18:17:18 +0200
committerMatthias P. Braendli <matthias.braendli@mpb.li>2014-10-10 18:17:18 +0200
commitde6eb96c71873fb23f0847424dca724b933ee399 (patch)
treeec7f708ceb088030038097c04a784c164083cc7a /src
parentea6f1557a0dd686fd74020509bdaadf689dd1c76 (diff)
downloaddabmod-de6eb96c71873fb23f0847424dca724b933ee399.tar.gz
dabmod-de6eb96c71873fb23f0847424dca724b933ee399.tar.bz2
dabmod-de6eb96c71873fb23f0847424dca724b933ee399.zip
Correct non-SSE VAR GainMode
Diffstat (limited to 'src')
-rw-r--r--src/GainControl.cpp112
1 files changed, 96 insertions, 16 deletions
diff --git a/src/GainControl.cpp b/src/GainControl.cpp
index 6304de3..a34dcf2 100644
--- a/src/GainControl.cpp
+++ b/src/GainControl.cpp
@@ -224,13 +224,26 @@ __m128 GainControl::computeGainVar(const __m128* in, size_t sizeIn)
__m128 i128 = _mm_set1_ps(sample + 1);
__m128 q128 = _mm_div_ps(delta128, i128);
mean128.m = _mm_add_ps(mean128.m, q128);
+
+ /*
+ tmp128.m = in[sample];
+ printf("S %zu, %.2f+%.2fj\t",
+ sample,
+ tmp128.f[0], tmp128.f[1]);
+ printf(": %.2f+%.2fj\n", mean128.f[0], mean128.f[1]);
+
+ printf("S %zu, %.2f+%.2fj\t",
+ sample,
+ tmp128.f[2], tmp128.f[3]);
+ printf(": %.2f+%.2fj\n", mean128.f[2], mean128.f[3]);
+ */
}
// Merging average
tmp128.m = _mm_shuffle_ps(mean128.m, mean128.m, _MM_SHUFFLE(1, 0, 3, 2));
mean128.m = _mm_add_ps(mean128.m, tmp128.m);
mean128.m = _mm_mul_ps(mean128.m, _mm_set1_ps(0.5f));
- PDEBUG("********** Mean: %10f, %10f, %10f, %10f **********\n",
+ PDEBUG("********** Mean: %10f + %10fj %10f + %10fj **********\n",
mean128.f[0], mean128.f[1], mean128.f[2], mean128.f[3]);
////////////////////////////////////////////////////////////////////////
@@ -243,16 +256,32 @@ __m128 GainControl::computeGainVar(const __m128* in, size_t sizeIn)
__m128 i128 = _mm_set1_ps(sample + 1);
__m128 q128 = _mm_div_ps(delta128, i128);
var128.m = _mm_add_ps(var128.m, q128);
+
+ /*
+ __u128 udiff128; udiff128.m = diff128;
+ __u128 udelta128; udelta128.m = delta128;
+ for (int off=0; off<4; off+=2) {
+ printf("S %zu, %.2f+%.2fj\t",
+ sample,
+ udiff128.f[off], udiff128.f[1+off]);
+ printf(": %.2f+%.2fj\t", udelta128.f[off], udelta128.f[1+off]);
+ printf(": %.2f+%.2fj\n", var128.f[off], var128.f[1+off]);
+ }
+ */
+
}
- // Merging average
+ PDEBUG("********** Vars: %10f + %10fj, %10f + %10fj **********\n",
+ var128.f[0], var128.f[1], var128.f[2], var128.f[3]);
+
+ // Merging standard deviations
tmp128.m = _mm_shuffle_ps(var128.m, var128.m, _MM_SHUFFLE(1, 0, 3, 2));
var128.m = _mm_add_ps(var128.m, tmp128.m);
var128.m = _mm_mul_ps(var128.m, _mm_set1_ps(0.5f));
var128.m = _mm_sqrt_ps(var128.m);
- PDEBUG("********** Var: %10f, %10f, %10f, %10f **********\n",
+ PDEBUG("********** Var: %10f + %10fj, %10f + %10fj **********\n",
var128.f[0], var128.f[1], var128.f[2], var128.f[3]);
var128.m = _mm_mul_ps(var128.m, _mm_set1_ps(4.0f));
- PDEBUG("********** 4*Var: %10f, %10f, %10f, %10f **********\n",
+ PDEBUG("********** 4*Var: %10f + %10fj, %10f + %10fj **********\n",
var128.f[0], var128.f[1], var128.f[2], var128.f[3]);
////////////////////////////////////////////////////////////////////////////
@@ -333,7 +362,17 @@ float GainControl::computeGainVar(const complexf* in, size_t sizeIn)
{
float gain;
complexf mean;
- complexf var;
+
+ /* The variance calculation is a bit strange, because we
+ * emulate the exact same functionality as the SSE code,
+ * which is the most used one.
+ *
+ * TODO: verify that this actually corresponds to the
+ * gain mode suggested in EN 300 798 Clause 5.3 Numerical Range.
+ */
+ complexf var1;
+ complexf var2;
+
static const float factor = 0x7fff;
mean = complexf(0.0f, 0.0f);
@@ -343,25 +382,66 @@ float GainControl::computeGainVar(const complexf* in, size_t sizeIn)
float i = sample + 1;
complexf q = delta / i;
mean = mean + q;
+
+ /*
+ printf("F %zu, %.2f+%.2fj\t",
+ sample,
+ in[sample].real(), in[sample].imag());
+
+ printf(": %.2f+%.2fj\n", mean.real(), mean.imag());
+ */
}
- PDEBUG("********** Mean: %10f, %10f **********\n", mean.real(), mean.imag());
+ PDEBUG("********** Mean: %10f + %10fj **********\n", mean.real(), mean.imag());
////////////////////////////////////////////////////////////////////////
// Computing standard deviation
////////////////////////////////////////////////////////////////////////
- var = complexf(0.0f, 0.0f);
+ var1 = complexf(0.0f, 0.0f);
+ var2 = complexf(0.0f, 0.0f);
for (size_t sample = 0; sample < sizeIn; ++sample) {
complexf diff = in[sample] - mean;
- complexf delta = complexf(diff.real() * diff.real(),
- diff.imag() * diff.imag()) - var;
- float i = sample + 1;
- complexf q = delta / i;
- var = var + q;
+ complexf delta;
+ complexf q;
+
+ float i = (sample/2) + 1;
+ if (sample % 2 == 0) {
+ delta = complexf(diff.real() * diff.real(),
+ diff.imag() * diff.imag()) - var1;
+ q = delta / i;
+
+ var1 += q;
+ }
+ else {
+ delta = complexf(diff.real() * diff.real(),
+ diff.imag() * diff.imag()) - var2;
+ q = delta / i;
+
+ var2 += q;
+ }
+
+ /*
+ printf("F %zu, %.2f+%.2fj\t",
+ sample,
+ diff.real(), diff.imag());
+
+ printf(": %.2f+%.2fj\t", delta.real(), delta.imag());
+ printf(": %.2f+%.2fj\t", var1.real(), var1.imag());
+ printf(": %.2f+%.2fj\n", var2.real(), var2.imag());
+ */
}
- PDEBUG("********** Var: %10f, %10f **********\n", var.real(), var.imag());
+
+ PDEBUG("********** Vars: %10f + %10fj, %10f + %10fj **********\n",
+ var1.real(), var1.imag(),
+ var2.real(), var2.imag());
+
+ // Merge standard deviations in the same way the SSE version does it
+ complexf tmpvar = (var1 + var2) * 0.5f;
+ complexf var(sqrt(tmpvar.real()), sqrt(tmpvar.imag()));
+ PDEBUG("********** Var: %10f + %10fj **********\n", var.real(), var.imag());
+
var = var * 4.0f;
- PDEBUG("********** 4*Var: %10f, %10f **********\n", var.real(), var.imag());
+ PDEBUG("********** 4*Var: %10f + %10fj **********\n", var.real(), var.imag());
////////////////////////////////////////////////////////////////////////////
// Computing gain
@@ -372,10 +452,10 @@ float GainControl::computeGainVar(const complexf* in, size_t sizeIn)
}
// Detect NULL
if ((int)var.real() == 0) {
- gain = factor / var.real();
+ gain = 1.0f;
}
else {
- gain = 1.0f;
+ gain = factor / var.real();
}
return gain;