Rafat Hussain f2bf77feb8 cleanup
2019-09-06 09:10:03 +05:30

325 lines
6.3 KiB
C

#include "../header/wauxlib.h"
#include "waux.h"
int compare_double(const void* a, const void* b)
{
double arg1 = *(const double*)a;
double arg2 = *(const double*)b;
if (arg1 < arg2) return -1;
if (arg1 > arg2) return 1;
return 0;
}
double mean(const double* vec, int N) {
int i;
double m;
m = 0.0;
for (i = 0; i < N; ++i) {
m+= vec[i];
}
m = m / N;
return m;
}
double var(const double* vec, int N) {
double v,temp,m;
int i;
v = 0.0;
m = mean(vec,N);
for (i = 0; i < N; ++i) {
temp = vec[i] - m;
v+= temp*temp;
}
v = v / N;
return v;
}
double median(double *x, int N) {
double sigma;
qsort(x, N, sizeof(double), compare_double);
if ((N % 2) == 0) {
sigma = (x[N/2 - 1] + x[N/2] ) / 2.0;
} else {
sigma = x[N/2];
}
return sigma;
}
double mad(double *x, int N) {
double sigma;
int i;
sigma = median(x,N);
for(i = 0; i < N;++i) {
x[i] = (x[i] - sigma) > 0 ? (x[i] - sigma) : -(x[i] - sigma);
}
sigma = median(x,N);
return sigma;
}
int minindex(const double *arr, int N) {
double min;
int index,i;
min = DBL_MAX;
index = 0;
for(i = 0; i < N;++i) {
if (arr[i] < min) {
min = arr[i];
index = i;
}
}
return index;
}
void getDWTAppx(wt_object wt, double *appx,int N) {
/*
Wavelet decomposition is stored as
[A(J) D(J) D(J-1) ..... D(1)] in wt->output vector
Length of A(J) , N = wt->length[0]
*/
int i;
for (i = 0; i < N; ++i) {
appx[i] = wt->output[i];
}
}
void getDWTDetail(wt_object wt, double *detail, int N, int level) {
/*
returns Detail coefficents at the jth level where j = J,J-1,...,1
and Wavelet decomposition is stored as
[A(J) D(J) D(J-1) ..... D(1)] in wt->output vector
Use getDWTAppx() to get A(J)
Level 1 : Length of D(J), ie N, is stored in wt->length[1]
Level 2 :Length of D(J-1), ie N, is stored in wt->length[2]
....
Level J : Length of D(1), ie N, is stored in wt->length[J]
*/
int i, iter, J;
J = wt->J;
if (level > J || level < 1) {
printf("The decomposition only has 1,..,%d levels", J);
exit(-1);
}
iter = wt->length[0];
for (i = 1; i < J-level; ++i) {
iter += wt->length[i];
}
for (i = 0; i < N; ++i) {
detail[i] = wt->output[i + iter];
}
}
void getDWTRecCoeff(double *coeff,int *length,const char *ctype,const char *ext, int level, int J,double *lpr,
double *hpr,int lf,int siglength,double *reccoeff) {
int i,j,k,det_len,N,l,m,n,v,t,l2;
double *out,*X_lp,*filt;
out = (double*)malloc(sizeof(double)* (siglength + 1));
l2 = lf / 2;
m = -2;
n = -1;
if (!strcmp(ext, "per")) {
if (!strcmp((ctype), "appx")) {
det_len = length[0];
} else {
det_len = length[J - level + 1];
}
N = 2 * length[J];
X_lp = (double*)malloc(sizeof(double)* (N + 2 * lf - 1));
for (i = 0; i < det_len; ++i) {
out[i] = coeff[i];
}
for (j = level; j > 0; --j) {
//idwt1(wt, temp, cA_up, out, det_len, wt->output + iter, det_len, X_lp, X_hp, out);
if (!strcmp((ctype), "det") && j == level) {
filt = hpr;
} else {
filt = lpr;
}
//idwt_per(wt,out, det_len, wt->output + iter, det_len, X_lp);
m = -2;
n = -1;
for (i = 0; i < det_len + l2 - 1; ++i) {
m += 2;
n += 2;
X_lp[m] = 0.0;
X_lp[n] = 0.0;
for (l = 0; l < l2; ++l) {
t = 2 * l;
if ((i - l) >= 0 && (i - l) < det_len) {
X_lp[m] += filt[t] * out[i - l];
X_lp[n] += filt[t + 1] * out[i - l];
}
else if ((i - l) >= det_len && (i-l) < det_len + lf - 1) {
X_lp[m] += filt[t] * out[i - l - det_len];
X_lp[n] += filt[t + 1] * out[i - l - det_len];
}
else if ((i - l) < 0 && (i-l) > -l2) {
X_lp[m] += filt[t] * out[det_len + i - l] ;
X_lp[n] += filt[t + 1] * out[det_len + i - l];
}
}
}
for (k = lf/2 - 1; k < 2 * det_len + lf/2 - 1; ++k) {
out[k - lf/2 + 1] = X_lp[k];
}
if (j != 1) {
det_len = length[J - j + 2];
}
}
free(X_lp);
}
else if (!strcmp(ext, "sym")) {
if (!strcmp((ctype), "appx")) {
det_len = length[0];
} else {
det_len = length[J - level + 1];
}
N = 2 * length[J] - 1;
X_lp = (double*)malloc(sizeof(double)* (N + 2 * lf - 1));
for (i = 0; i < det_len; ++i) {
out[i] = coeff[i];
}
for (j = level; j > 0; --j) {
//idwt1(wt, temp, cA_up, out, det_len, wt->output + iter, det_len, X_lp, X_hp, out);
if (!strcmp((ctype), "det") && j == level) {
filt = hpr;
} else {
filt = lpr;
}
//idwt_sym(wt, out, det_len, wt->output + iter, det_len, X_lp);
m = -2;
n = -1;
for (v = 0; v < det_len; ++v) {
i = v;
m += 2;
n += 2;
X_lp[m] = 0.0;
X_lp[n] = 0.0;
for (l = 0; l < lf / 2; ++l) {
t = 2 * l;
if ((i - l) >= 0 && (i - l) < det_len) {
X_lp[m] += filt[t] * out[i - l];
X_lp[n] += filt[t + 1] * out[i - l];
}
}
}
for (k = lf-2; k < 2 * det_len; ++k) {
out[k - lf + 2] = X_lp[k];
}
if (j != 1) {
det_len = length[J - j + 2];
}
}
free(X_lp);
}
else {
printf("Signal extension can be either per or sym");
exit(-1);
}
for (i = 0; i < siglength; ++i) {
reccoeff[i] = out[i];
}
free(out);
}
void autocovar(const double* vec,int N, double* acov,int M) {
double m,temp1,temp2;
int i,t;
m = mean(vec,N);
if ( M > N) {
M = N-1;
printf("\n Lag is greater than the length N of the input vector. It is automatically set to length N - 1.\n");
printf("\n The Output Vector only contains N calculated values.");
} else if ( M < 0) {
M = 0;
}
for(i = 0; i < M;i++) {
acov[i] = 0.0;
for (t = 0; t < N-i;t++) {
temp1 = vec[t] - m;
temp2 = vec[t+i] - m;
acov[i]+= temp1*temp2;
}
acov[i] = acov[i] / N;
}
}
void autocorr(const double* vec,int N,double* acorr, int M) {
double var;
int i;
if (M > N) {
M = N - 1;
printf("\n Lag is greater than the length N of the input vector. It is automatically set to length N - 1.\n");
printf("\n The Output Vector only contains N calculated values.");
}
else if (M < 0) {
M = 0;
}
autocovar(vec,N,acorr,M);
var = acorr[0];
acorr[0] = 1.0;
for(i = 1; i < M; i++) {
acorr[i] = acorr[i]/var;
}
}