Python For Signal Processing

Python for Signal Processing: Featuring IPython Notebooks [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Feb. 6, 2017
Python for Signal Processing: Featuring IPython Notebooks [Repost]

José Unpingco - Python for Signal Processing: Featuring IPython Notebooks
Published: 2013-10-05 | ISBN: 3319013416 | PDF | 128 pages | 2.9 MB

Python for Signal Processing: Featuring IPython Notebooks  eBooks & eLearning

Posted by libr at Oct. 7, 2013
Python for Signal Processing: Featuring IPython Notebooks

Python for Signal Processing: Featuring IPython Notebooks by José Unpingco
English | 2013 | ISBN: 3319013416 | 130 pages | PDF | 3 MB

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read.

Mathematical Foundations for Signal Processing, Communications, and Networking [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 26, 2017
Mathematical Foundations for Signal Processing, Communications, and Networking [Repost]

Erchin Serpedin, Thomas Chen, Dinesh Rajan - Mathematical Foundations for Signal Processing, Communications, and Networking
Published: 2011-12-21 | ISBN: 1439855137, 1138072168 | PDF | 858 pages | 185.33 MB
Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications by Chong-Yung Chi and Wei-Chiang Li
English | 2017 | ISBN: 1498776450 | 444 pages | PDF | 15 MB

Bootstrap Techniques for Signal Processing [Repost]  eBooks & eLearning

Posted by tanas.olesya at Dec. 22, 2015
Bootstrap Techniques for Signal Processing [Repost]

Bootstrap Techniques for Signal Processing by D. Robert Iskander
English | 6 May 2004 | ISBN: 052183127X | 232 Pages | PDF | 1 MB

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample.

Mathematical Foundations for Signal Processing, Communications, and Networking  eBooks & eLearning

Posted by arundhati at July 19, 2015
Mathematical Foundations for Signal Processing, Communications, and Networking

Erchin Serpedin, Thomas Chen, "Mathematical Foundations for Signal Processing, Communications, and Networking"
2012 | ISBN-10: 1439855137 | 857 pages | PDF | 185 MB

Fast Algorithms for Signal Processing (repost)  eBooks & eLearning

Posted by arundhati at Jan. 17, 2015
Fast Algorithms for Signal Processing (repost)

Richard E. Blahut, "Fast Algorithms for Signal Processing"
2010 | ISBN: 0521190495, 0511776373 | 466 pages | PDF | 3 MB

Mathematical Methods and Algorithms for Signal Processing by Wynn C. Stirling  eBooks & eLearning

Posted by tanas.olesya at Dec. 13, 2014
Mathematical Methods and Algorithms for Signal Processing by Wynn C. Stirling

Mathematical Methods and Algorithms for Signal Processing by Wynn C. Stirling
English | August 14, 1999 | ISBN: 0201361868 | 978 pages | PDF | 38 MB

Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing readers and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear algebra, optimization, and statistical signal processing.
Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook) by Alexander D. Poularikas

Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook) by Alexander D. Poularikas
English | September 29, 1998 | ISBN: 0849385792 | 820 pages | PDF | 10 MB

Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.

Linear Algebra for Signal Processing (Repost)  eBooks & eLearning

Posted by tukotikko at April 4, 2014
Linear Algebra for Signal Processing (Repost)

Linear Algebra for Signal Processing By Adam Bojanczyk, George Cybenko
1995 | 184 Pages | ISBN: 1461287030 | PDF | 5 MB