代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

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m optical_flow_orig.m

% Phase-based Opic Flow Algorithm, described in % Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the % Estimation of the Optical Flow Field Using Spatial Filtering. % IEEE Trans. N
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m optical_flow.m

% Phase-based Opic Flow Algorithm, described in % Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the % Estimation of the Optical Flow Field Using Spatial Filtering. % IEEE Trans. N
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m k_dd4.m

function k_dd4(sv) %K_DD4 Kalman Filter for Estimation of Ambiguities % Double differenced code and phase observations %Kai Borre 01-25-96 %Copyright (c) 1997 by Kai Borre %$Revision: 1.0
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m k_dd4.m

function k_dd4(sv) %K_DD4 Kalman Filter for Estimation of Ambiguities % Double differenced code and phase observations %Kai Borre 01-25-96 %Copyright (c) 1997 by Kai Borre %$Revision: 1.0
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m welchse.m

function phi=welchse(y,v,K,L) % % The Welch method of spectral estimation. % % phi=welchse(y,v,K,L); % % y -> the data vector % v -> the window vector % K -> (j-1)K+1 is the st
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m sa_ex7_15b.m

sa% ESPRIT AOA estimation for a M = 4 element array with noise variance = .1 M = 4; % number of array elements D = 2; % number of signals sig2 = .1; % noise variance th1 = -10*pi/180; %
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html lib0018.html

Chapter 3: Scope Definition and Estimation
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m sa_ex7_15b.m

sa% ESPRIT AOA estimation for a M = 4 element array with noise variance = .1 M = 4; % number of array elements D = 2; % number of signals sig2 = .1; % noise variance th1 = -10*pi/180; %
www.eeworm.com/read/316240/13527250

html lib0018.html

Chapter 3: Scope Definition and Estimation
www.eeworm.com/read/303496/13814531

m ucaesprit_0123.m

% UCA ESPRIT % Two dimensional DOA estimation through Uniform Circular Array % UCA ESPRIT proposed by Cherian P. Mathews and Michael D. Zoltowski, % REFERENCE: % C. P. Mathews and M. D. Zoltowsk