mirror of
https://github.com/TomHarte/CLK.git
synced 2026-04-19 19:16:34 +00:00
Completed curly bracket movement.
This commit is contained in:
@@ -36,34 +36,28 @@ using namespace SignalProcessing;
|
||||
#define kCSKaiserBesselFilterFixedMultiplier 32767.0f
|
||||
#define kCSKaiserBesselFilterFixedShift 15
|
||||
|
||||
/* ino evaluates the 0th order Bessel function at a */
|
||||
float FIRFilter::ino(float a)
|
||||
{
|
||||
/*! Evaluates the 0th order Bessel function at @c a. */
|
||||
float FIRFilter::ino(float a) {
|
||||
float d = 0.0f;
|
||||
float ds = 1.0f;
|
||||
float s = 1.0f;
|
||||
|
||||
do
|
||||
{
|
||||
do {
|
||||
d += 2.0f;
|
||||
ds *= (a * a) / (d * d);
|
||||
s += ds;
|
||||
}
|
||||
while(ds > s*1e-6f);
|
||||
} while(ds > s*1e-6f);
|
||||
|
||||
return s;
|
||||
}
|
||||
|
||||
//static void csfilter_setIdealisedFilterResponse(short *filterCoefficients, float *A, float attenuation, unsigned int numberOfTaps)
|
||||
void FIRFilter::coefficients_for_idealised_filter_response(short *filterCoefficients, float *A, float attenuation, unsigned int numberOfTaps)
|
||||
{
|
||||
void FIRFilter::coefficients_for_idealised_filter_response(short *filterCoefficients, float *A, float attenuation, unsigned int numberOfTaps) {
|
||||
/* calculate alpha, which is the Kaiser-Bessel window shape factor */
|
||||
float a; // to take the place of alpha in the normal derivation
|
||||
|
||||
if(attenuation < 21.0f)
|
||||
if(attenuation < 21.0f) {
|
||||
a = 0.0f;
|
||||
else
|
||||
{
|
||||
} else {
|
||||
if(attenuation > 50.0f)
|
||||
a = 0.1102f * (attenuation - 8.7f);
|
||||
else
|
||||
@@ -76,8 +70,7 @@ void FIRFilter::coefficients_for_idealised_filter_response(short *filterCoeffici
|
||||
unsigned int Np = (numberOfTaps - 1) / 2;
|
||||
float I0 = ino(a);
|
||||
float NpSquared = (float)(Np * Np);
|
||||
for(unsigned int i = 0; i <= Np; i++)
|
||||
{
|
||||
for(unsigned int i = 0; i <= Np; i++) {
|
||||
filterCoefficientsFloat[Np + i] =
|
||||
A[i] *
|
||||
ino(a * sqrtf(1.0f - ((float)(i * i) / NpSquared) )) /
|
||||
@@ -85,38 +78,32 @@ void FIRFilter::coefficients_for_idealised_filter_response(short *filterCoeffici
|
||||
}
|
||||
|
||||
/* coefficients are symmetrical, so copy from right hand side to left side */
|
||||
for(unsigned int i = 0; i < Np; i++)
|
||||
{
|
||||
for(unsigned int i = 0; i < Np; i++) {
|
||||
filterCoefficientsFloat[i] = filterCoefficientsFloat[numberOfTaps - 1 - i];
|
||||
}
|
||||
|
||||
/* scale back up so that we retain 100% of input volume */
|
||||
float coefficientTotal = 0.0f;
|
||||
for(unsigned int i = 0; i < numberOfTaps; i++)
|
||||
{
|
||||
for(unsigned int i = 0; i < numberOfTaps; i++) {
|
||||
coefficientTotal += filterCoefficientsFloat[i];
|
||||
}
|
||||
|
||||
/* we'll also need integer versions, potentially */
|
||||
float coefficientMultiplier = 1.0f / coefficientTotal;
|
||||
for(unsigned int i = 0; i < numberOfTaps; i++)
|
||||
{
|
||||
for(unsigned int i = 0; i < numberOfTaps; i++) {
|
||||
filterCoefficients[i] = (short)(filterCoefficientsFloat[i] * kCSKaiserBesselFilterFixedMultiplier * coefficientMultiplier);
|
||||
}
|
||||
|
||||
delete[] filterCoefficientsFloat;
|
||||
}
|
||||
|
||||
void FIRFilter::get_coefficients(float *coefficients)
|
||||
{
|
||||
for(unsigned int i = 0; i < number_of_taps_; i++)
|
||||
{
|
||||
void FIRFilter::get_coefficients(float *coefficients) {
|
||||
for(unsigned int i = 0; i < number_of_taps_; i++) {
|
||||
coefficients[i] = (float)filter_coefficients_[i] / kCSKaiserBesselFilterFixedMultiplier;
|
||||
}
|
||||
}
|
||||
|
||||
FIRFilter::FIRFilter(unsigned int number_of_taps, float input_sample_rate, float low_frequency, float high_frequency, float attenuation)
|
||||
{
|
||||
FIRFilter::FIRFilter(unsigned int number_of_taps, float input_sample_rate, float low_frequency, float high_frequency, float attenuation) {
|
||||
// we must be asked to filter based on an odd number of
|
||||
// taps, and at least three
|
||||
if(number_of_taps < 3) number_of_taps = 3;
|
||||
@@ -135,8 +122,7 @@ FIRFilter::FIRFilter(unsigned int number_of_taps, float input_sample_rate, float
|
||||
|
||||
float *A = new float[Np+1];
|
||||
A[0] = 2.0f * (high_frequency - low_frequency) / input_sample_rate;
|
||||
for(unsigned int i = 1; i <= Np; i++)
|
||||
{
|
||||
for(unsigned int i = 1; i <= Np; i++) {
|
||||
float iPi = (float)i * (float)M_PI;
|
||||
A[i] =
|
||||
(
|
||||
@@ -151,7 +137,6 @@ FIRFilter::FIRFilter(unsigned int number_of_taps, float input_sample_rate, float
|
||||
delete[] A;
|
||||
}
|
||||
|
||||
FIRFilter::~FIRFilter()
|
||||
{
|
||||
FIRFilter::~FIRFilter() {
|
||||
delete[] filter_coefficients_;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user