/*
* Portions Copyright (c) 2009 Nokia Corporation and/or its subsidiary(-ies).
* All rights reserved.
* This component and the accompanying materials are made available
* under the terms of "Eclipse Public License v1.0"
* which accompanies this distribution, and is available
* at the URL "http://www.eclipse.org/legal/epl-v10.html".
*
* Initial Contributors:
* Nokia Corporation - initial contribution.
*
* Contributors:
*
* Description:
* The original NIST Statistical Test Suite code is placed in public domain.
* (http://csrc.nist.gov/groups/ST/toolkit/rng/documentation_software.html)
*
* This software was developed at the National Institute of Standards and Technology by
* employees of the Federal Government in the course of their official duties. Pursuant
* to title 17 Section 105 of the United States Code this software is not subject to
* copyright protection and is in the public domain. The NIST Statistical Test Suite is
* an experimental system. NIST assumes no responsibility whatsoever for its use by other
* parties, and makes no guarantees, expressed or implied, about its quality, reliability,
* or any other characteristic. We would appreciate acknowledgment if the software is used.
*/
#include "openc.h"
#include "../include/externs.h"
#include "../include/utilities.h"
#include "../include/cephes.h"
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
A P P R O X I M A T E E N T R O P Y T E S T
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
void
ApproximateEntropy(int m, int n)
{
int i, j, k, r, blockSize, seqLength, powLen, index;
double sum, numOfBlocks, ApEn[2], apen, chi_squared, p_value;
unsigned int *P;
fprintf(stats[TEST_APEN], "\t\t\tAPPROXIMATE ENTROPY TEST\n");
fprintf(stats[TEST_APEN], "\t\t--------------------------------------------\n");
fprintf(stats[TEST_APEN], "\t\tCOMPUTATIONAL INFORMATION:\n");
fprintf(stats[TEST_APEN], "\t\t--------------------------------------------\n");
fprintf(stats[TEST_APEN], "\t\t(a) m (block length) = %d\n", m);
seqLength = n;
r = 0;
for ( blockSize=m; blockSize<=m+1; blockSize++ ) {
if ( blockSize == 0 ) {
ApEn[0] = 0.00;
r++;
}
else {
numOfBlocks = (double)seqLength;
powLen = (int)pow(2, blockSize+1)-1;
if ( (P = (unsigned int*)calloc(powLen,sizeof(unsigned int)))== NULL ) {
fprintf(stats[TEST_APEN], "ApEn: Insufficient memory available.\n");
return;
}
for ( i=1; i<powLen-1; i++ )
P[i] = 0;
for ( i=0; i<numOfBlocks; i++ ) { /* COMPUTE FREQUENCY */
k = 1;
for ( j=0; j<blockSize; j++ ) {
k <<= 1;
if ( (int)epsilon[(i+j) % seqLength] == 1 )
k++;
}
P[k-1]++;
}
/* DISPLAY FREQUENCY */
sum = 0.0;
index = (int)pow(2, blockSize)-1;
for ( i=0; i<(int)pow(2, blockSize); i++ ) {
if ( P[index] > 0 )
sum += P[index]*log(P[index]/numOfBlocks);
index++;
}
sum /= numOfBlocks;
ApEn[r] = sum;
r++;
free(P);
}
}
apen = ApEn[0] - ApEn[1];
chi_squared = 2.0*seqLength*(log(2) - apen);
p_value = cephes_igamc(pow(2, m-1), chi_squared/2.0);
fprintf(stats[TEST_APEN], "\t\t(b) n (sequence length) = %d\n", seqLength);
fprintf(stats[TEST_APEN], "\t\t(c) Chi^2 = %f\n", chi_squared);
fprintf(stats[TEST_APEN], "\t\t(d) Phi(m) = %f\n", ApEn[0]);
fprintf(stats[TEST_APEN], "\t\t(e) Phi(m+1) = %f\n", ApEn[1]);
fprintf(stats[TEST_APEN], "\t\t(f) ApEn = %f\n", apen);
fprintf(stats[TEST_APEN], "\t\t(g) Log(2) = %f\n", log(2.0));
fprintf(stats[TEST_APEN], "\t\t--------------------------------------------\n");
if ( m > (int)(log(seqLength)/log(2)-5) ) {
fprintf(stats[TEST_APEN], "\t\tNote: The blockSize = %d exceeds recommended value of %d\n", m,
MAX(1, (int)(log(seqLength)/log(2)-5)));
fprintf(stats[TEST_APEN], "\t\tResults are inaccurate!\n");
fprintf(stats[TEST_APEN], "\t\t--------------------------------------------\n");
}
fprintf(stats[TEST_APEN], "%s\t\tp_value = %f\n\n", p_value < ALPHA ? "FAILURE" : "SUCCESS", p_value);
fprintf(results[TEST_APEN], "%f\n", p_value);
}