Digital Signal Processing For Measurement Systems Theory And Applications

Digital Signal Processing for Measurement Systems: Theory and Applications (Repost)

Gabriele D'Antona, Alessandro Ferrero, "Digital Signal Processing for Measurement Systems: Theory and Applications"
English | 2005-11-16 | ISBN: 0387249664 | 276 pages | PDF | 5.1 mb
Digital Signal Processing: An Introduction with MATLAB and Applications (repost)

Digital Signal Processing: An Introduction with MATLAB and Applications by Zahir M. Hussain and Amin Z. Sadik
English | 2011-02-26 | ISBN: 3642155901 | PDF | 480 pages | 3 MB
Optimal Reference Shaping for Dynamical Systems: Theory and Applications (repost)

Optimal Reference Shaping for Dynamical Systems: Theory and Applications by Tarunraj Singh
English | 2009-10-28 | ISBN: 1439805628 | 408 pages | PDF | 9,6 mb

Integrating feedforward control with feedback control can significantly improve the performance of control systems compared to using feedback control alone. Focusing on feedforward control techniques, Optimal Reference Shaping for Dynamical Systems: Theory and Applications lucidly covers the various algorithms for attenuating residual oscillations that are excited by reference inputs to dynamical systems.
Digital Signal Processing: An Introduction with MATLAB and Applications [Repost]

Zahir M. Hussain, Amin Z. Sadik, Peter O'Shea - Digital Signal Processing: An Introduction with MATLAB and Applications
Published: 2011-02-26 | ISBN: 3642155901 | PDF | 480 pages | 3 MB
"Digital Signal Processing: An Introduction with MATLAB and Applications" by Zahir M. Hussain, et al.

"Digital Signal Processing: An Introduction with MATLAB and Applications" by Zahir M. Hussain, Amin Z. Sadik, Peter O'Shea
Springer | 2011 | ISBN: 3642155901 9783642155918 9783642155901 | 373 pages | PDF | 5 MB

This book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing.
Iterative Methods for Linear Systems: Theory and Applications

Iterative Methods for Linear Systems: Theory and Applications by Maxim A. Olshanskii, Eugene E. Tyrtyshnikov
2014 | ISBN: 1611973457 | English | 263 pages | PDF | 2 MB
Advanced Signal Processing for Communication Systems [Repost]

Advanced Signal Processing for Communication Systems (The Springer International Series in Engineering and Computer Science) by
Springer; 2002 edition | October 31, 2002 | English | ISBN: 1402072023 | 288 pages | PDF | 14 MB

Advanced Signal Processing for Communication Systems consists of 20 contributions from researchers and experts.
Assessment and Simulation Tools for Sustainable Energy Systems: Theory and Applications (repost)

Assessment and Simulation Tools for Sustainable Energy Systems: Theory and Applications (Green Energy and Technology) by Fausto Cavallaro
English | ISBN: 1447151429 | 2013 | PDF | 438 pages | 7,3 MB

In recent years, the concept of energy has been revised and a new model based on the principle of sustainability has become more and more pervasive. The appraisal of energy technologies and projects is complex and uncertain as the related decision making has to encompass environmental, technical, economic and social factors and information sources.
Code Design for Dependable Systems: Theory and Practical Applications (repost)

Eiji Fujiwara, "Code Design for Dependable Systems: Theory and Practical Applications"
Wiley-Interscience | July 11, 2006 | ISBN: 0471756180 | PDF | 720 pages | 11.86 MB

Theoretical and practical tools to master matrix code design strategy and technique. Error correcting and detecting codes are essential to improving system reliability and have popularly been applied to computer systems and communication systems. Coding theory has been studied mainly using the code generator polynomials; hence, the codes are sometimes called polynomial codes. On the other hand, the codes designed by parity check matrices are referred to in this book as matrix codes. This timely book focuses on the design theory for matrix codes and their practical applications for the improvement of system reliability. As the author effectively demonstrates, matrix codes are far more flexible than polynomial codes, as they are capable of expressing various types of code functions.
Digital Signal Processing for In-Vehicle Systems and Safety (repost)

John H.L. Hansen, Pinar Boyraz, Kazuya Takeda and Hüseyin Abut, "Digital Signal Processing for In-Vehicle Systems and Safety"
Sp nger | 2012 | ISBN: 1441996060 | 346 pages | PDF | 9 MB