代码搜索：classical
找到约 407 项符合「classical」的源代码
代码结果 407
www.eeworm.com/read/154760/11928554
m attn.m
function y =attn (ty,n,w,esq)
% ATTN Attenuation (in dB) of classical LP Filters.
%
% Y = ATTN(TY,N,W,E2) attenuation of classical LOWPASS prototypes.
% TY = 'bw','c1', and 'c2' (Butterworth, Cheb
www.eeworm.com/read/221024/14773728
html http:^^www.cs.cornell.edu^info^people^snowman^scores.html
MIME-Version: 1.0
Server: CERN/3.0
Date: Sunday, 01-Dec-96 20:36:53 GMT
Content-Type: text/html
Content-Length: 930
Last-Modified: Tuesday, 13-Aug-96 03:06:12 GMT
will he
www.eeworm.com/read/174223/9601785
ini fet.ini
# This is FET's configuration file (FET version=3.17.11)
# This is the working directory (used in open/save as file dialog)
sample_inputs
# The time limit that the program is allowed to sea
www.eeworm.com/read/108859/15573999
m attn.m
function y =attn (ty,n,w,esq)
% ATTN Attenuation (in dB) of classical LP Filters.
%
% Y = ATTN(TY,N,W,E2) attenuation of classical LOWPASS prototypes.
% TY = 'bw','c1', and 'c2' (Butterworth, Cheb
www.eeworm.com/read/386050/8767574
m mds_cs.m
% MDS_CS Classical scaling
%
% W = MDS_CS(D,N)
%
% INPUT
% D Square dissimilarity matrix of the size M x M
% N Desired output dimensionality (optional; default: 2)
%
% OUTPUT
% W Classical sca
www.eeworm.com/read/299984/7140040
m mds_cs.m
% MDS_CS Classical scaling
%
% W = MDS_CS(D,N)
%
% INPUT
% D Square dissimilarity matrix of the size M x M
% N Desired output dimensionality (optional; default: 2)
%
% OUTPUT
% W Classical sca
www.eeworm.com/read/460435/7250515
m mds_cs.m
% MDS_CS Classical scaling
%
% W = MDS_CS(D,N)
%
% INPUT
% D Square dissimilarity matrix of the size M x M
% N Desired output dimensionality (optional; default: 2)
%
% OUTPUT
% W Classical sca
www.eeworm.com/read/450608/7480147
m mds_cs.m
% MDS_CS Classical scaling
%
% W = MDS_CS(D,N)
%
% INPUT
% D Square dissimilarity matrix of the size M x M
% N Desired output dimensionality (optional; default: 2)
%
% OUTPUT
% W Classical sca
www.eeworm.com/read/449128/7517987
m testint.m
%
% (Classical) Polynomial Interpolation
%
clear;
x = [ 0; 1; -1; 2; -2];
f = [ -5; -3; -15; 39; -9];
z = [ 3 ];
p = AitkenNeville( x, f, z );
a = NewtIntPol( x, f, 1 );
p = NewtIntPolEval( x, a,
www.eeworm.com/read/441245/7672723
m mds_cs.m
% MDS_CS Classical scaling
%
% W = MDS_CS(D,N)
%
% INPUT
% D Square dissimilarity matrix of the size M x M
% N Desired output dimensionality (optional; default: 2)
%
% OUTPUT
% W Classical sca