Random Signal

Pseudo Random Signal Processing: Theory and Application (repost)  eBooks & eLearning

Posted by interes at Dec. 19, 2016
Pseudo Random Signal Processing: Theory and Application (repost)

Pseudo Random Signal Processing: Theory and Application by Hans-Jurgen Zepernick, Adolf Finger
English | 2005 | ISBN: 0470866578 | 436 pages | PDF | 15,6 MB

Discrete Random Signal Processing and Filtering Primer with MATLAB (Repost)  eBooks & eLearning

Posted by nebulae at Dec. 14, 2016
Discrete Random Signal Processing and Filtering Primer with MATLAB (Repost)

Alexander D. Poularikas, "Discrete Random Signal Processing and Filtering Primer with MATLAB"
English | ISBN: 1420089331 | 2008 | 304 pages | PDF | 6 MB

Discrete Random Signal Processing and Filtering Primer with MATLAB (repost)  eBooks & eLearning

Posted by arundhati at June 6, 2016
Discrete Random Signal Processing and Filtering Primer with MATLAB (repost)

Alexander D. Poularikas, "Discrete Random Signal Processing and Filtering Primer with MATLAB"
English | ISBN: 1420089331 | 2008 | 304 pages | PDF | 6 MB

Probability, Random Variables, and Random Signal Principles, 2nd edition (repost)  eBooks & eLearning

Posted by interes at June 28, 2015
Probability, Random Variables, and Random Signal Principles, 2nd edition (repost)

Probability, Random Variables, and Random Signal Principles, 2nd edition by Peyton Z. Peebles
English | 1987 | pages: 340 | ISBN: 0070492190 | scan PDF | 11,5 mb
Probability, Random Variables and Random Signal Principles by Peyton Z. Peebles Jr. [Repost]

Probability, Random Variables and Random Signal Principles (McGraw-Hill series in electrical engineering) by Peyton Z. Peebles Jr.
McGraw-Hill Inc.,US; 2nd edition | March 1987 | English | ISBN: 0070492190 | 349 pages | PDF | 11 MB

The fourth edition of "Probability, Random Variables and Random Signal Principles" continues the success of previous editions with its concise introduction to probability theory for the junior-senior level course in electrical engineering. The book offers a careful, logical organization which stresses fundamentals and includes almost 900 student exercises and abundant practical applications for engineers to understand probability concepts.

Discrete Random Signal Processing and Filtering Primer with MATLAB  eBooks & eLearning

Posted by roxul at Aug. 31, 2014
Discrete Random Signal Processing and Filtering Primer with MATLAB

Alexander D. Poularikas, "Discrete Random Signal Processing and Filtering Primer with MATLAB"
English | ISBN: 1420089331 | 2008 | 304 pages | PDF | 6 MB

Pseudo Random Signal Processing: Theory and Application  eBooks & eLearning

Posted by ksveta6 at April 11, 2014
Pseudo Random Signal Processing: Theory and Application

Pseudo Random Signal Processing: Theory and Application by Hans-Jurgen Zepernick, Adolf Finger
2005 | ISBN: 0470866578 | English | 436 pages | PDF | 16 MB
Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications (Repost)

Roy M. Howard, "Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications"
English | 2002-08-08 | ISBN: 0471226173 | 328 pages | PDF | 8.4 mb

Introduction to Random Signal Analysis and Kalman Filtering  eBooks & eLearning

Posted by fdts at June 2, 2013
Introduction to Random Signal Analysis and Kalman Filtering

Introduction to Random Signal Analysis and Kalman Filtering
by Robert Grover Brown
English | 1983 | ISBN: 0471087327 | 360 pages | PDF | 38.24 MB

Probability, Random Variables, and Random Signal Principles, 2nd edition (repost)  eBooks & eLearning

Posted by interes at May 30, 2013
Probability, Random Variables, and Random Signal Principles, 2nd edition (repost)

Peyton Z. Peebles, "Probability, Random Variables, and Random Signal Principles, 2nd edition"
English | 1987 | pages: 340 | ISBN: 0070492190 | scan PDF | 11,5 mb

This very successful concise introduction to probability theory for the junior-senior level course in electrical engineering offers a careful, logical organization which stresses fundamentals and includes over 800 student exercises and abundant practical applications (discussions of noise figures and noise temperatures) for engineers to understand noise and random signals in systems.