代码搜索:Algorithm
找到约 10,000 项符合「Algorithm」的源代码
代码结果 10,000
www.eeworm.com/read/443457/7632644
cpp 1939.cpp
#include
#include
using namespace std;
int main()
{
int i, a, d;
int at[15], def[15];
while(cin >> a >> d)
{
if(a == 0 && d == 0)
bre
www.eeworm.com/read/440750/7682197
m kmeanlbg.m
function [x,esq,j] = kmeanlbg(d,k)
%KMEANLBG Vector quantisation using the Linde-Buzo-Gray algorithm [X,ESQ,J]=(D,K)
%
%Inputs:
% D contains data vectors (one per row)
% K is number of centres re
www.eeworm.com/read/437944/7739079
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R11) 10-Jul-1998
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
% (double cli
www.eeworm.com/read/437043/7755997
m ecgdetectqsrank.m
function [Q,S,R] = ECGDetectQSRank(x,fsa,fsda,pfa);
%ECGDetectQSRank: ECG QS-wave detector based on ranks
%
% [R,s] = ECGDetectQSRank(x,fs,fsd,pf);
%
% x Input signal
% fs Signal s
www.eeworm.com/read/437043/7756007
m pressuredetectinterbeat.m
function [B,A,C,D] = PressureDetectInterbeat(x,fsa,wla,pfa);
%PressureDetectInterbeat: Pressure detector algorithm (ICP & ABP)
%
% [B, A, C, D] = PressureDetectInterbeat(x,fs,wl,pf);
%
% x Inpu
www.eeworm.com/read/437043/7756008
m pressuredetect.m
function [B,A,C,D] = PressureDetectInterbeat(x,fsa,wla,pfa);
%PressureDetect: Pressure detector algorithm (ICP & ABP)
%
% [B, A, C, D] = PressureDetect(x,fs,wl,pf);
%
% x Input signal
%
www.eeworm.com/read/436736/7762985
html index.html
Genetic Algorithm Optimization Toolbox
Genetic Algorithm Optimization Toolbox (GAOT)
GAOT implements simulated evolution i
www.eeworm.com/read/436736/7763002
html gaotindex.html
Genetic Algorithm Optimization Toolbox (GAOT)
The following files are in the distribution:
Main interface
ga.m
www.eeworm.com/read/435094/7797365
m face_recognition.m
clear all;
%% Face recognition
% This algorithm uses the eigenface system (based on pricipal component
% analysis - PCA) to recognize faces. For more information on this method
% refer to http://c
www.eeworm.com/read/399996/7816805
m contents.m
% HMM's
% HMM_Backward - HMM backward algorithm
% HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks
% HMM_Decoding - Find probable states fro