Filter Design For Signal Processing

Digital Filters Design for Signal and Image Processing by Mohamed Najim  eBooks & eLearning

Posted by BUGSY at April 30, 2015
Digital Filters Design for Signal and Image Processing by Mohamed Najim

Digital Filters Design for Signal and Image Processing (Digital Signal and Image Processing series) by Mohamed Najim
English | Oct 31, 2006 | ISBN: 1905209452 | 386 Pages | PDF | 4 MB

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing, covering topics such as the z-transform, Shannon sampling theorem and fast Fourier transform. An entire chapter is devoted to the design of time-continuous filters which provides a useful preliminary step for analog-to-digital filter conversion.

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

Fuzzy Control and Filter Design for Uncertain Fuzzy Systems (Repost)  eBooks & eLearning

Posted by step778 at Feb. 20, 2017
Fuzzy Control and Filter Design for Uncertain Fuzzy Systems (Repost)

Wudhichai Assawinchaichote, Sing Kiong Nguang, Peng Shi, "Fuzzy Control and Filter Design for Uncertain Fuzzy Systems"
2006 | pages: 177 | ISBN: 3540370110 | PDF | 5,4 mb

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

Digital Design of Signal Processing Systems: A Practical Approach (Repost)  eBooks & eLearning

Posted by step778 at May 20, 2016
Digital Design of Signal Processing Systems: A Practical Approach (Repost)

Shoab Ahmed Khan, "Digital Design of Signal Processing Systems: A Practical Approach"
2011 | pages: 608 | ISBN: 047074183X | PDF | 7,2 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.