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/147682/5728184
m testbfdaf.m
% BFDAF used in a simple system identification application.
% By the end of this script the adaptive filter w
% should have the same coefficients as the unknown filter h.
clear all;
iter = 5000;
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m testlms.m
% LMS used in a simple system identification application.
% By the end of this script the adaptive filter w
% should have the same coefficients as the unknown filter h.
iter = 5000;
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m testbnlms.m
% BNLMS used in a simple system identification application.
% By the end of this script the adaptive filter w
% should have the same coefficients as the unknown filter h.
clear all;
iter = 5000;
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m testrls.m
% RLS used in a simple system identification application.
% By the end of this script the adaptive filter w
% should have the same coefficients as the unknown filter h.
clear all;
iter = 5000;
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m dbtex60.m
%DBTEX60 An example of beamforming and DOA estimation on measured signals that are reflected against a rough surface.
%
% * DBT, A Matlab Toolbox for Radar Signal Processing *
% (c) FOA 199
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m program_7_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
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m program_10_1.m
% Program 10_1
% Estimation of FIR Filter Order Using remezord
%
fedge = input('Type in the bandedges = ');
mval = input('Desired magnitude values in each band = ');
dev = input('Allowable deviat
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m dempe1.m
% DEMPE1 Demonstrate parameter estimation on a simple 2nd order LTI system.
%
% This is a simple demonstration of how to use the ReBEL toolkit for parameter estimation on
% a simple 2nd order
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m demje1.m
% DEMJE1 Demonstrate joint estimation on a 2nd order LTI system.
%
% This is a demonstration of how to use the ReBEL toolkit for joint estimation on
% a simple 2nd order LTI system.
%
% Se
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m demje2.m
% DEMJE2 Demonstrate nonlinear time series joint estimation for Mackey-Glass chaotic time series
%
% The Mackey-Glass time-delay differential equation is defined by
%
% dx(t)/dt = 0.2x