代码搜索:minimum

找到约 5,594 项符合「minimum」的源代码

代码结果 5,594
www.eeworm.com/read/161587/10393599

out bboard.out

Enter 8 x 5 net matrix Minimum density is 4 Optimal arrangement is 2 3 4 5 1 6 7 8
www.eeworm.com/read/299984/7139964

m minc.m

%MINC Minimum combining classifier % % W = MINC(V) % W = V*MINC % % INPUT % V Set of classifiers % % OUTPUT % W Minimum combining classifier on V % % DESCRIPTION % If V = [V1,V2,V3, ...
www.eeworm.com/read/461264/7230416

pro minf_parabol_d.pro

; Procedure minF_parabol_D, ; first, a utility function which gets derivative in 1-D: ;------------------------------------------------------------------------------ function call_func_deriv, func_nam
www.eeworm.com/read/460435/7250439

m minc.m

%MINC Minimum combining classifier % % W = MINC(V) % W = V*MINC % % INPUT % V Set of classifiers % % OUTPUT % W Minimum combining classifier on V % % DESCRIPTION % If V = [V1,V2,V3, ...
www.eeworm.com/read/459616/7270154

out bboard.out

Enter 8 x 5 net matrix Minimum density is 4 Optimal arrangement is 2 3 4 5 1 6 7 8
www.eeworm.com/read/458010/7314161

m ssubmmse.m

function [ss,zo]=ssubmmse(si,fsz,pp) %SSUBMMSE performs speech enhancement using mmse estimate of spectral amplitude or log amplitude [SS,ZO]=(S,FSZ,P) % % Inputs: % si input speech signal
www.eeworm.com/read/450608/7480091

m minc.m

%MINC Minimum combining classifier % % W = MINC(V) % W = V*MINC % % INPUT % V Set of classifiers % % OUTPUT % W Minimum combining classifier on V % % DESCRIPTION % If V = [V1,V2,V3, ...
www.eeworm.com/read/448350/7534385

m ssubmmse.m

function [ss,zo]=ssubmmse(si,fsz,pp) %SSUBMMSE performs speech enhancement using mmse estimate of spectral amplitude or log amplitude [SS,ZO]=(S,FSZ,P) % % Inputs: % si input speech signal
www.eeworm.com/read/441245/7672643

m minc.m

%MINC Minimum combining classifier % % W = MINC(V) % W = V*MINC % % INPUT % V Set of classifiers % % OUTPUT % W Minimum combining classifier on V % % DESCRIPTION % If V = [V1,V2,V3, ...
www.eeworm.com/read/440750/7682144

m ssubmmse.m

function [ss,zo]=ssubmmse(si,fsz,pp) %SSUBMMSE performs speech enhancement using mmse estimate of spectral amplitude or log amplitude [SS,ZO]=(S,FSZ,P) % % Inputs: % si input speech signal