代码搜索:Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
www.eeworm.com/read/140851/13059010

m mdnprob.m

function [prob,a] = mdnprob(mixparams, t) %MDNPROB Computes the data probability likelihood for an MDN mixture structure. % % Description % PROB = MDNPROB(MIXPARAMS, T) computes the probability P(
www.eeworm.com/read/327021/13103543

h patch.h

#ifndef PATCH_H #define PATCH_H // Depth of variance tree: should be near SQRT(PATCH_SIZE) + 1 #define VARIANCE_DEPTH (9) // Predefines... class Landscape; // // TriTreeNode Struct //
www.eeworm.com/read/140062/13112038

cpp d13r7.cpp

#include "iostream.h" #include "math.h" #include "stdlib.h" void main() { //program d13r7 //driver for routine ftest int npts = 1000, nval = 10; int i,j,mpts = 500; doub
www.eeworm.com/read/140062/13112047

cpp d13r6a.cpp

#include "iostream.h" #include "math.h" #include "stdlib.h" void main() { //program d13r6a //driver for routine tutest int i,j,npts = 5000, nshft = 10; int mpts = 1000;
www.eeworm.com/read/325945/13173198

m matrix.m

% MIXING MATRIX A %------------------------------------------------------------------------------- % A = mixing matrix %------------------------------------------------------------------------------
www.eeworm.com/read/241049/13175777

cpp d13r7.cpp

#include "iostream.h" #include "math.h" #include "stdlib.h" void main() { //program d13r7 //driver for routine ftest int npts = 1000, nval = 10; int i,j,mpts = 500; doub
www.eeworm.com/read/241049/13175789

cpp d13r6a.cpp

#include "iostream.h" #include "math.h" #include "stdlib.h" void main() { //program d13r6a //driver for routine tutest int i,j,npts = 5000, nshft = 10; int mpts = 1000;
www.eeworm.com/read/240990/13180524

m cp0602_gaussian_psd_nth.m

% % FUNCTION 6.4 : "cp0602_Gaussian_PSD_nth" % % Generates the normalized PSD of the n-th derivative of % the Gaussian pulse with variance sigma^2 as defined in: % % Sheng, H., P. Orli
www.eeworm.com/read/138798/13212061

m mdnprob.m

function [prob,a] = mdnprob(mixparams, t) %MDNPROB Computes the data probability likelihood for an MDN mixture structure. % % Description % PROB = MDNPROB(MIXPARAMS, T) computes the probability P(
www.eeworm.com/read/319478/13450791

res gsect.res

G-SAMPLE EMPIRICAL COVERAGE TEST RESULTS TOTAL # OF OBSERVED VALUES = 12 RANDOM # GENERATOR SEED = 61 # OF SIMULATIONS = 10000 THE COVERAGE EXPONENT