代码搜索：least-squares
找到约 305 项符合「least-squares」的源代码
代码结果 305
www.eeworm.com/read/360770/10079057
m e454.m
%----------------------------------------------------------------------
% Example 4.5.4: Least Squares Fit with Noise
%-----------------------------------------------------------
www.eeworm.com/read/252396/12284192
mht matlab file least-squares polynomial approximations.mht
From:
Subject: Matlab File: Least-squares polynomial approximations
Date: Thu, 12 Apr 2007 11:50:14 +0800
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ty
www.eeworm.com/read/300661/13901365
pdf weighted least-squares approximation of fir by iir digital filters.pdf
www.eeworm.com/read/167185/5463251
3 lsqsolv.3
.\" Copyright (c) 1988-1990 Entropic Speech, Inc.
.\" Copyright (c) 1997 Entropic Research Laboratory, Inc. All rights reserved.
.\" @(#)lsqsolv.3 1.4 18 Apr 1997 ESI/ERL
.ds ]W (c) 1997 Entropic Rese
www.eeworm.com/read/468226/6995106
mht matlab central - file detail - partial least-squares and discriminant analysis.mht
From:
Subject: MATLAB Central - File detail - Partial Least-Squares and Discriminant Analysis
Date: Thu, 30 Apr 2009 12:17:38 +0800
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www.eeworm.com/read/381211/9103704
m fg_08_12.m
% fg_08_12 TSEmin versus N for different delays.
K=100; k=0:K-1;
sp_fig(1,9,5.5);
set(gca,'fontsize',16);
clr=['r' 'g' 'b'];
for m=1:3,
% Signals.
s=[1, zeros(1,K-1)];
f=exp(-.1*k).*s
www.eeworm.com/read/373627/9446191
index
Kaver Average K-functions from Simulations
Kenvl Compute Envelope and Average of Simulations of K-fns
Kfn Compute K-fn of a Point Pattern
Psim
www.eeworm.com/read/360770/10079043
m e411.m
%----------------------------------------------------------------------
% Example 4.1.1: Variation in Gravity with Latitude
%----------------------------------------------------------------------
www.eeworm.com/read/448535/7531383
m lsfilt.m
function [h,X] = lsfilt(f,d,m,type)
%
% Determine a least-squares filter h with m coefficients
%
% function [h,X] = lsfilt(f,d,m,type)
%
% f = input data
% d = desired output data
% m = order
www.eeworm.com/read/439462/7708310
m lsa.m
function a=lsa(y,w)
%
% lsa.m compute the complex amplitudes of
% sinusoidal components given the frequencies by a least-squares
% solution to the data.
%
% Model:
% y(n)=sum_{k=1}^p a_k e^