Rank: 1522 based on 77 downloads (last 30 days) and 5 files submitted
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Kamlesh Pawar

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Company/University
IIT Bombay

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Professional Interests:
Image Processing, Signal Processing, Compressive Sensing, Magnetic Resonance Imaging

 

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02 Apr 2014 Normalize columns of matrix to unit lenght Usage : Takes 2D-matrix x and returns y such that each columns of y have unit length Author: Kamlesh Pawar signal processing, image processing, image analysis 11 0
27 Jan 2014 Code for generating complex valued Noiselet matrix Code for generating complex valued Noiselet matrix Author: Kamlesh Pawar signal processing, image processing 15 0
27 Jan 2014 Code for generating Haar matrix Code for generating Haar matrix Author: Kamlesh Pawar signal processing, image processing, coding theory, communications, compression 15 0
11 Jul 2013 Code for calculating root mean squared error for data This is a simple code which accurately calculates RMS error for real or complex data. Author: Kamlesh Pawar image processing, signal processing 22 2
  • 1.0
1.0 | 1 rating
18 Dec 2011 Hadamard matrix generation This script generates Hadamard matrix. Author: Kamlesh Pawar communications, signal processing, image processing 14 0
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04 Jul 2013 Code for calculating root mean squared error for data This is a simple code which accurately calculates RMS error for real or complex data. Author: Kamlesh Pawar Simon, Jan

"numel(A1)" looks nicer than "size(A1(:),1)".

The comparison of "size(A1)~=size(A2)" crashes, if the number of dimensions differs. Therefore this is smarter: "~isequal(size(A1), size(A2))"

08 Dec 2011 Code for calculating root mean squared error for data This is a simple code which accurately calculates RMS error for real or complex data. Author: Kamlesh Pawar Völker, Michael

MATLAB = MATrix LABoratory

er = A1 - A2;
er = sqrt( (er(:)' * er(:)) / length(er(:)) );

Advantages: faster, shorter, works with arbitrarily sized A1/A2, works with complex data, too.

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