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Energy 的代码
rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
consttxsca.m
% random order sequential resource allocation, minimize overall transmit
% energy or maximize sum SIR
% system wide fast sequential DCA/FCA
clear
t=cputime
NF=4;
KA=3;
KS=25;
KM=NF*KA;
KSM=KM
rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
thfig36.m
% thfig36: BP Thesis Figure 3.6 -- Dynamic Range, energy ratio = 1e2
%
% Matching Pursuit behaves badly when the signal is made up
% atoms within dynamic range
% Basis Pursuit has handles dy
thfig37.m
% thfig37: BP Thesis Figure 3.7 -- Dynamic Range, energy ratio = 1e4
%
% Matching Pursuit behaves badly when the signal is made up
% atoms within dynamic range
% Basis Pursuit has handles dy
tefacdc.cpp
/* AC/DC Transient Energy Functions. */
#include
//#ifndef WINDOWS
//#include
//#else
#include "pfwstdio.h"
//#endif
#include
#include
#include "con