代码搜索:Array Signal Processing

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www.eeworm.com/read/239550/13272821

txt readme.txt

All M-files are copyrighted, 2000, by Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon for use with the book "Statistical and Adaptive Signal Processing" published by McGraw-Hill Higher
www.eeworm.com/read/307760/13715444

m segments.m

function[y,q]=segments(x,L,M) % [y,Q]=segments(X,L,M) % % Given the data samples X=(x_1,x_2,...,x_N), % the program obtains Q overlapping (M=L) se
www.eeworm.com/read/307760/13715450

m example5.m

% % This Matlab script provides an interactive way to reproduce % Example 5: Confidence interval for the correlation coefficient % reported in: % Zoubir, A.M. and Boashash, B. The Bootstrap and
www.eeworm.com/read/349590/6291720

txt readme.txt

All M-files are copyrighted, 2000, by Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon for use with the book "Statistical and Adaptive Signal Processing" published by McGraw-Hill Higher
www.eeworm.com/read/158100/11643652

txt readme.txt

All M-files are copyrighted, 2000, by Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon for use with the book "Statistical and Adaptive Signal Processing" published by McGraw-Hill Higher
www.eeworm.com/read/155543/11864177

txt readme.txt

All M-files are copyrighted, 2000, by Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon for use with the book "Statistical and Adaptive Signal Processing" published by McGraw-Hill Higher
www.eeworm.com/read/130466/14192644

readme

M.Barni, F. Bartolini, V. Cappellini, A. Piva. "A DCT-Domain System for Robust Image Watermarking", Signal Processing, vol.66, pp 357-372, 1998. V. Fotopoulos, A.N. Skodras, "A Subband DCT approach t
www.eeworm.com/read/232058/14209480

txt readme.txt

All M-files are copyrighted, 2000, by Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon for use with the book "Statistical and Adaptive Signal Processing" published by McGraw-Hill Higher
www.eeworm.com/read/173705/9640996

m segments.m

function[y,q]=segments(x,L,M) % [y,Q]=segments(X,L,M) % % Given the data samples X=(x_1,x_2,...,x_N), % the program obtains Q overlapping (M=L) se
www.eeworm.com/read/173705/9641003

m example5.m

% % This Matlab script provides an interactive way to reproduce % Example 5: Confidence interval for the correlation coefficient % reported in: % Zoubir, A.M. and Boashash, B. The Bootstrap and