--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/kerneltest/e32utils/nistsecurerng/src/approximateEntropy.cpp Tue Aug 31 16:34:26 2010 +0300
@@ -0,0 +1,111 @@
+/*
+* 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);
+}