代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/299984/7140552
m parzenmls.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
% Soft label version
%
% H = PARZENML(A,FID)
%
% INPUT
% A input dataset
% FID File ID to write progress to (def
www.eeworm.com/read/460435/7251028
m parzenmls.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
% Soft label version
%
% H = PARZENML(A,FID)
%
% INPUT
% A input dataset
% FID File ID to write progress to (def
www.eeworm.com/read/449504/7502708
m contents.m
% UCSD_GARCH Toolbox.
% Version 2.0 01-Jan-2002
%
% Help and Documentation
% ucsd_garch_demo - A demo of the garch toolbox
%
% Main Univariate Mean Functions
% armaxfilter
www.eeworm.com/read/441245/7673246
m parzenmls.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
% Soft label version
%
% H = PARZENML(A,FID)
%
% INPUT
% A input dataset
% FID File ID to write progress to (def
www.eeworm.com/read/439462/7708289
m bartlettse.m
function phi=bartlettse(y,M,L)
%
% The Bartlett method of spectra estimation.
%
% phi=bartlettse(y,M,L);
%
% y -> the data vector
% M -> the length of subsequences of y
% L -> t
www.eeworm.com/read/439462/7708301
m beamform.m
function phi=beamform(Y,L,d)
%
% The Beamforming method for direction of arrival estimation
%
% phi=beamform(Y,L,d);
%
% Y
www.eeworm.com/read/199774/7823365
m program_07_5.m
% Program 7_5
% Estimation of FIR Filter Order Using remezord
%
fedge = input('Type in the bandedges = ');
mval = input('Desired magnitude values in each band = ');
dev = input('Allowable deviati
www.eeworm.com/read/198546/7928854
m contents.m
% UCSD_GARCH Toolbox.
% Version 2.0 01-Jan-2002
%
% Help and Documentation
% ucsd_garch_demo - A demo of the garch toolbox
%
% Main Univariate Mean Functions
% armaxfilter
www.eeworm.com/read/398034/8009005
m sa_ex7_6.m
% Capon AOA estimation for a M = 6 element array with noise variance = .1
M=6;
sig2=.1;
th1=-5*pi/180;
th2=5*pi/180;
a1=[1];
a2=[1];
a=[1];
for i=2:M
a1=[a1 exp(-1j*i*pi*sin(th1))];
www.eeworm.com/read/398034/8009020
m sa_ex7_me.m
% Maximum Entropy AOA estimation for a M = 6 element array with noise variance = .1
%
tic
M=6;
sig2=.1;
th1=-5*pi/180;
th2=5*pi/180;
a1=[1];
a2=[1];
a=[1];
u3=[0 0 1 0 0 0];
%for i=2:M
%