代码搜索：Spatial
找到约 1,342 项符合「Spatial」的源代码
代码结果 1,342
www.eeworm.com/read/153415/12034932
m cor_embed_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/153415/12034957
m cor_recover_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/250063/12437205
m cor_embed_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/250063/12437213
m cor_recover_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/127120/14376049
m cor_embed_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/127120/14376065
m cor_recover_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/223568/14624658
m cor_embed_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/223568/14624675
m cor_recover_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"
www.eeworm.com/read/220187/14847314
txt 描述.txt
The script generates spatial data with a scale-invariant power spectrum (1/f noise) and a normal error distribution.
The spectral density of the data is proportional to f^BETA, where f is the frequ
www.eeworm.com/read/212508/15155172
m cor_embed_mod.m
%Name: Chris Shoemaker
%Course: EER-280 - Digital Watermarking
%Project: Comparison-Based Correlation using block processing in the spatial domain
% Uses two PN sequences; one for a "0"