代码搜索:Array Signal Processing
找到约 10,000 项符合「Array Signal Processing」的源代码
代码结果 10,000
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