normColumns.m
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Data stored column-wise in an input matrix are normalized as time series, with options to output just the normalized data, or the norm of each column as well. Fast, uses no loops.
Free download from Shareware Connection - Data stored column-wise in an input matrix are normalized as time series, with options to output just the normalized data, or the norm of each column as well
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 17-06-2013 | Rating: 0 | Title: normColumns.m
Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/27457/2/normColumns.zip
Coherently aligns data - This function treats a matrix as a column-wise set of signals and circularly shifts each column so that it aligns with the first column of data so that the inner product between those columns is maximized with respect to all other shifts
xcorAlign.m - Circularly shifts input data in matrix by columns, according to cross correlation maximum index.
D8 Algorithm for Hydrological Models - Find flow direction (find min. potential of all adjacent cells)
matchPurs.m - This function is a more robust and improved version of my previous submission, matchingpursuit.m
Dilates matrix data - Dilates a time series input and resizes it to the orignal sample length input. If a matrix is input, dilation is done along columns. % The up/down sampling is done via resample.
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Wiener filter for Noise Reduction and speech enhancement
Solutions for Digital and Analog Communication Systems, 7Ed by Leon Couch
Using S-Parameters in MATLAB & Simulink
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Column Wise Sorting
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Full Rank Factorization - FRD - Full rank factorization of input matrix X.
Dilates matrix data - Dilates a time series input and resizes it to the orignal sample length input. If a matrix is input, dilation is done along columns. % The up/down sampling is done via resample.
sortwvfrms - Sorts input matrix of data so that each column is re-ordered by user-specified criteria. Options are (1) sort data by signal width (2) sort data by energy localization (3) sort data by dissimilarity of data to a normal probability distribution.
Calculate Wigner distribution - W = mywigner(Ex) W = output Wigner distribution Ex = Input electric field (MUST be a column vector Notes: W = Int(-inf..inf){E(x+y)E(x-y)exp[2ixy]} E(x+y) & E(x-y) are calculated via a FFT (fast Fourier transform) using the shift theorem.
series - This is Richard C. Waters' SERIES package for Common Lisp. In a nutshell: Think "Efficient MAPCAR" SERIES translates functional-style expressions into efficient loops. Series are to loops as control structures are to GOTOs.
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