📄 remez.c
字号:
for (i = 1; i < gridsize - 1; i++) {
if (((E[i] >= E[i - 1]) && (E[i] > E[i + 1]) && (E[i] > 0.0)) ||
((E[i] <= E[i - 1]) && (E[i] < E[i + 1]) && (E[i] < 0.0)))
foundExt[k++] = i;
}
/* Check for extremum at 0.5 */
j = gridsize - 1;
if (((E[j] > 0.0) && (E[j] > E[j - 1])) ||
((E[j] < 0.0) && (E[j] < E[j - 1])))
foundExt[k++] = j;
/* Remove extra extremals */
extra = k - (r + 1);
while (extra > 0) {
if (E[foundExt[0]] > 0.0)
up = 1; /* first one is a maxima */
else
up = 0; /* first one is a minima */
l = 0;
alt = 1;
for (j = 1; j < k; j++) {
if (fabs(E[foundExt[j]]) < fabs(E[foundExt[l]]))
l = j; /* new smallest error. */
if ((up) && (E[foundExt[j]] < 0.0))
up = 0; /* switch to a minima */
else if ((!up) && (E[foundExt[j]] > 0.0))
up = 1; /* switch to a maxima */
else {
alt = 0;
break; /* Ooops, found two non-alternating */
} /* extrema. Delete smallest of them */
} /* if the loop finishes, all extrema are alternating */
/* If there's only one extremal and all are alternating,
* delete the smallest of the first/last extremals. */
if ((alt) && (extra == 1)) {
if (fabs(E[foundExt[k - 1]]) < fabs(E[foundExt[0]]))
l = foundExt[k - 1]; /* Delete last extremal */
else
l = foundExt[0]; /* Delete first extremal */
}
/* Loop that does the deletion */
for (j = l; j < k; j++) {
foundExt[j] = foundExt[j+1];
}
k--;
extra--;
}
/* Copy found extremals to Ext[] */
for (i = 0; i <= r; i++) {
Ext[i] = foundExt[i];
}
free(foundExt);
}
/*********************
* FreqSample
*============
* Simple frequency sampling algorithm to determine the impulse
* response h[] from A's found in ComputeA
*
*
* INPUT:
* ------
* int N - Number of filter coefficients
* double A[] - Sample points of desired response [N/2]
* int symm - Symmetry of desired filter
*
* OUTPUT:
* -------
* double h[] - Impulse Response of final filter [N]
*********************/
static void FreqSample(int N, const double A[], double h[], int symm)
{
int n, k;
double x, val, M;
M = (N - 1.0) / 2.0;
if (symm == POSITIVE) {
if (N % 2) {
for (n = 0; n < N; n++) {
val = A[0];
x = Pi2 * (n - M) / N;
for (k = 1; k <= M; k++)
val += 2.0 * A[k] * cos(x * k);
h[n] = val / N;
}
}
else {
for (n = 0; n < N; n++) {
val = A[0];
x = Pi2 * (n - M)/N;
for (k = 1; k <= (N / 2 - 1); k++)
val += 2.0 * A[k] * cos(x * k);
h[n] = val / N;
}
}
}
else {
if (N % 2) {
for (n = 0; n < N; n++) {
val = 0;
x = Pi2 * (n - M) / N;
for (k = 1; k <= M; k++)
val += 2.0 * A[k] * sin(x * k);
h[n] = val / N;
}
}
else {
for (n = 0; n < N; n++) {
val = A[N / 2] * sin(Pi * (n - M));
x = Pi2 * (n - M) / N;
for (k = 1; k <= (N / 2 - 1); k++)
val += 2.0 * A[k] * sin(x * k);
h[n] = val / N;
}
}
}
}
/*******************
* isDone
*========
* Checks to see if the error function is small enough to consider
* the result to have converged.
*
* INPUT:
* ------
* int r - 1/2 the number of filter coeffiecients
* int Ext[] - Indexes to extremal frequencies [r+1]
* double E[] - Error function on the dense grid [gridsize]
*
* OUTPUT:
* -------
* Returns 1 if the result converged
* Returns 0 if the result has not converged
********************/
static int isDone(int r, const int Ext[], const double E[])
{
int i;
double min, max, current;
min = max = fabs(E[Ext[0]]);
for (i = 1; i <= r; i++) {
current = fabs(E[Ext[i]]);
if (current < min)
min = current;
if (current > max)
max = current;
}
if (((max - min) / max) < 0.0001)
return 1;
return 0;
}
/********************
* remez
*=======
* Calculates the optimal (in the Chebyshev/minimax sense)
* FIR filter impulse response given a set of band edges,
* the desired reponse on those bands, and the weight given to
* the error in those bands.
*
* INPUT:
* ------
* int numtaps - Number of filter coefficients
* int numband - Number of bands in filter specification
* double bands[] - User-specified band edges [2 * numband]
* double des[] - User-specified band responses [numband]
* double weight[] - User-specified error weights [numband]
* int type - Type of filter
*
* OUTPUT:
* -------
* double h[] - Impulse response of final filter [numtaps]
********************/
void remez(double h[], int numtaps, int numband, double bands[],
const double des[], const double weight[], int type)
{
double *Grid, *W, *D, *E;
int i, iter, gridsize, r, *Ext;
double *taps, c;
double *x, *y, *ad;
int symmetry;
if (type == BANDPASS)
symmetry = POSITIVE;
else
symmetry = NEGATIVE;
r = numtaps / 2; /* number of extrema */
if ((numtaps % 2) && (symmetry == POSITIVE))
r++;
/* Predict dense grid size in advance for memory allocation
* .5 is so we round up, not truncate */
gridsize = 0;
for (i = 0; i < numband; i++) {
gridsize += (int) (2 * r * GRIDDENSITY *
(bands[2 * i + 1] - bands[2 * i]) + .5);
}
if (symmetry == NEGATIVE) {
gridsize--;
}
/* Dynamically allocate memory for arrays with proper sizes */
Grid = (double *) Util_malloc(gridsize * sizeof(double));
D = (double *) Util_malloc(gridsize * sizeof(double));
W = (double *) Util_malloc(gridsize * sizeof(double));
E = (double *) Util_malloc(gridsize * sizeof(double));
Ext = (int *) Util_malloc((r + 1) * sizeof(int));
taps = (double *) Util_malloc((r + 1) * sizeof(double));
x = (double *) Util_malloc((r + 1) * sizeof(double));
y = (double *) Util_malloc((r + 1) * sizeof(double));
ad = (double *) Util_malloc((r + 1) * sizeof(double));
/* Create dense frequency grid */
CreateDenseGrid(r, numtaps, numband, bands, des, weight,
&gridsize, Grid, D, W, symmetry);
InitialGuess(r, Ext, gridsize);
/* For Differentiator: (fix grid) */
if (type == DIFFERENTIATOR) {
for (i = 0; i < gridsize; i++) {
/* D[i] = D[i] * Grid[i]; */
if (D[i] > 0.0001)
W[i] = W[i] / Grid[i];
}
}
/* For odd or Negative symmetry filters, alter the
* D[] and W[] according to Parks McClellan */
if (symmetry == POSITIVE) {
if (numtaps % 2 == 0) {
for (i = 0; i < gridsize; i++) {
c = cos(Pi * Grid[i]);
D[i] /= c;
W[i] *= c;
}
}
}
else {
if (numtaps % 2) {
for (i = 0; i < gridsize; i++) {
c = sin(Pi2 * Grid[i]);
D[i] /= c;
W[i] *= c;
}
}
else {
for (i = 0; i < gridsize; i++) {
c = sin(Pi * Grid[i]);
D[i] /= c;
W[i] *= c;
}
}
}
/* Perform the Remez Exchange algorithm */
for (iter = 0; iter < MAXITERATIONS; iter++) {
CalcParms(r, Ext, Grid, D, W, ad, x, y);
CalcError(r, ad, x, y, gridsize, Grid, D, W, E);
Search(r, Ext, gridsize, E);
if (isDone(r, Ext, E))
break;
}
#ifndef ASAP
if (iter == MAXITERATIONS) {
Aprint("remez(): reached maximum iteration count. Results may be bad.");
}
#endif
CalcParms(r, Ext, Grid, D, W, ad, x, y);
/* Find the 'taps' of the filter for use with Frequency
* Sampling. If odd or Negative symmetry, fix the taps
* according to Parks McClellan */
for (i = 0; i <= numtaps / 2; i++) {
if (symmetry == POSITIVE) {
if (numtaps % 2)
c = 1;
else
c = cos(Pi * (double) i / numtaps);
}
else {
if (numtaps % 2)
c = sin(Pi2 * (double) i / numtaps);
else
c = sin(Pi * (double) i / numtaps);
}
taps[i] = ComputeA((double) i / numtaps, r, ad, x, y) * c;
}
/* Frequency sampling design with calculated taps */
FreqSample(numtaps, taps, h, symmetry);
/* Delete allocated memory */
free(Grid);
free(W);
free(D);
free(E);
free(Ext);
free(taps);
free(x);
free(y);
free(ad);
}
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -