Those working in the field of electronics already know how important ‘DSP’ or Digital signal processing is. It is used to manipulate the information signal to mathematical form and then modify or improve the same. These mathematical manipulations are then represented in form of discrete time, discrete frequency or various other discrete domain signals by a sequence of numbers or symbols after which these signals are processed further. Learn more about the subject with these 8 digital signal processing ebooks.
1. The Scientist and Engineer’s Guide to Digital Signal Processing
Author/s: Steven W. Smith
Publisher: California Technical Pub.; 1st edition (1997)
The book is aimed to help the design engineers to excel in this said tough subject which is also considered as one of the most coveted engineering these days. The book explains various techniques via illation, application examples, solved mathematics and profuse illustrations.
2. Design and Architectures for Digital Signal Processing
Author/s: Gustavo Ruiz and Juan A. Michell
Publisher: IN-TECH (January 16, 2013)
The book aims to guide the students, engineers, researchers and the industrial community on the latest updates in the design and implementation of DSP systems and its utility in programmable devices and application specific circuits.
3. Digital Filters and Signal Processing
Author/s: Fausto Pedro Garciia Maarquez and Noor Zaman
Publisher: IN-TECH (January 16, 2013)
This book showcases the advances with regards to digital filters and signal process methods. The book covers various case studies to show and explain the essence of the discipline. It explains the principal approaches together with the most recent mathematical models which are being used worldwide.
4. Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images
Author/s: Jan Erik Solem
Publisher: O’Reilly Media (July 3, 2012)
The book aims to provide easy understanding of hands-on with computer vision together with well its fundamental theory and algorithms required for the foundation of the students, researchers and enthusiasts. The book has used Python programming language which is an open source programming language which comes with powerful and freely available modules which helps in handling images and data mining together with mathematical computing.
5. Introduction to DSP by Bores
Publisher: Bores
This free HTML based ebook comes from the courseware of Bores. The signal processing DSP course book from Bores takes you right from the introduction of DSP and advances to topics like to how to make DSP chips and DSP programming.
6. Signal Processing for Communications
Author/s: Paolo Prandoni, Martin Vetterli
Publisher: EFPL Press; 1st edition (August 19, 2008)
Taking the non-classic route of explanation, the author of the book attempts to convince the reader that Signal processing can be a fun subject to learn. The book instead of focusing wholly to mathematics, has tried to focus more on the conceptual aspects. This approach not only builds a strong foundation in the readers to advance to higher concepts but also help them solve the real world problems. The book is also backed with rich illustrations and examples
7. Foundations of Signal Processing
Author/s: Martin Vetterli, Jelena Kovacevic, and Vivek K Goyal
Publisher: FourierAndWavelets.org (August 25, 2012)
The book targets to provide state-of-the-art tools for users of signal processing technology. It also looks forward to create a strong foundation for those looking forward learn and advance in the theory and practice of signal processing.
Author/s: Sophocles Orfanidis
Publisher: Macmillan Pub Co; 2 Sub edition (November 1988); Sophocles J. Orfanidis (May 4, 2007)
This is one brilliant and underrated book based on optimal signal processing. The author has neatly related the filtering problems and has optimized them in linear spaces. He has further explained how is this in relevance with the optimal correlation canceller.
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