代码搜索：cutoff 有哪些应用？
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www.eeworm.com/read/278889/10490796
m sparselssvm.m
function [pmodel,nb,errest] = sparselssvm(model,tradeoff, step)
% Remove iteratively the least relevant support vectors in order to obtain sparsity
%
% >> selector = sparselssvm({X,Y,type,gam, sig2},
www.eeworm.com/read/421949/10676348
m sparselssvm.m
function [pmodel,nb,errest] = sparselssvm(model,tradeoff, step)
% Remove iteratively the least relevant support vectors in order to obtain sparsity
%
% >> selector = sparselssvm({X,Y,type,gam, sig2},
www.eeworm.com/read/418342/10952676
m lpfilter.m
function H = lpfilter(type, M, N, D0, n)
%LPFILTER Computes frequency domain lowpass filters.
% H = LPFILTER(TYPE, M, N, D0, n) creates the transfer function of
% a lowpass filter, H, of the sp
www.eeworm.com/read/458661/7291880
m dguide.m
% dguide.m - TE modes in dielectric slab waveguide
%
% Usage: [be,kc,ac,fc,err] = dguide(f,a,n1,n2,Nit)
% [be,kc,ac,fc,err] = dguide(f,a,n1,n2) (equivalent to Nit=3)
%
% f = freque
www.eeworm.com/read/440896/7679070
m p5_17.m
%Program ZouyxLabExeSheet_2
%Program to Design Butterworth Lowpass Filter
%
%Type in the filter order and 3-dB cutoff frequency
N=input('Type in filter order = ');
Wn=input('3-dB cutoff frequency
www.eeworm.com/read/397122/8065946
m sparselssvm.m
function [pmodel,nb,errest] = sparselssvm(model,tradeoff, step)
% Remove iteratively the least relevant support vectors in order to obtain sparsity
%
% >> selector = sparselssvm({X,Y,type,gam, sig2},
www.eeworm.com/read/144837/12770458
m lpfilter.m
function H = lpfilter(type, M, N, D0, n)
%LPFILTER Computes frequency domain lowpass filters.
% H = LPFILTER(TYPE, M, N, D0, n) creates the transfer function of
% a lowpass filter, H, of the sp
www.eeworm.com/read/331336/12832696
m sparselssvm.m
function [pmodel,nb,errest] = sparselssvm(model,tradeoff, step)
% Remove iteratively the least relevant support vectors in order to obtain sparsity
%
% >> selector = sparselssvm({X,Y,type,gam, sig2},
www.eeworm.com/read/139320/13161455
m sparselssvm.m
function [pmodel,nb,errest] = sparselssvm(model,tradeoff, step)
% Remove iteratively the least relevant support vectors in order to obtain sparsity
%
% >> selector = sparselssvm({X,Y,type,gam, sig2},
www.eeworm.com/read/326135/13163204
m lpfilter.m
function H = lpfilter(type, M, N, D0, n)
%LPFILTER Computes frequency domain lowpass filters.
% H = LPFILTER(TYPE, M, N, D0, n) creates the transfer function of
% a lowpass filter, H, of the sp