Signal Processing
- 10 Books | 92h 26m
Explore the theory of signals and systems, and its applications to fields such as digital signal processing, image and video processing and more.
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Book
Linear Systems and Signals Second EditionIncorporating new problems and examples, as well as MATLAB material, this second edition gives clear descriptions of linear systems and uses mathematics not only to prove axiomatic theory, but also to enhance physical and intuitive understanding.
23h 17m
By B.P. Lathi
Book
Signal Processing and Networking for Big Data ApplicationsMaking sense of big data in engineering applications using tools and techniques from signal processing, this book is ideal for professionals wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.
6h 51m
By Dan Wang, Mingyi Hong, Zhu Han
Book
FPGA-Based Implementation of Signal Processing Systems, Second EditionProviding a wealth of practical insights, along with illustrative case studies and timely real-world examples, this book is an important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems.
6h 19m
By Gaye Lightbody, John McAllister, Roger Woods, Ying Yi
Book
Digital Signal Processing with Python ProgrammingAddressing the fundamental bases of statistical inferences, this book includes several computational problems and exercises, along with detailed solutions.
3h 7m
By Maurice Charbit
Book
Fourier Transforms: Principles and ApplicationsFeaturing chapter end summaries of key results, over two hundred examples and four hundred homework problems, , this class-tested manual explains transform methods and their applications to electrical systems from circuits, antennas, and signal processors.
10h 59m
By Eric W. Hansen
Book
Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises, Fourth EditionIncluding a wide range of new application examples, this book covers innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade.
6h 23m
By Patrick Y. C. Hwang, Robert Grover Brown
Book
Bayesian Signal Processing: Classical, Modern, and Particle Filtering Methods, Second EditionWith an expansion of case studies that detail Bayesian solutions for a variety of applications, this comprehensive resource presents the Bayesian approach to statistical signal processing for a variety of useful model sets.
8h 19m
By James V. Candy
Book
Introduction to Audio Analysis: A MATLAB ApproachIncluding reproducible MATLAB examples accompanied by theoretical descriptions, this illustrative guide enables the reader to delve into the realm of audio signals and develop real-world audio applications in various domains.
3h 53m
By Aggelos Pikrakis, Theodoros Giannakopoulos
Book
Signal Processing for 5G: Algorithms and ImplementationsA must-read for all things 5G, this comprehensive, invaluable guide covers everything from network architecture, physical-layer (down-link and up-link), protocols and air interface, to cell acquisition, scheduling and rate adaption, access procedures and relaying to spectrum allocations
11h 38m
By Charlie (Jianzhong) Zhang (eds), Fa-Long Luo
Book
Probability, Random Variables, and Random Processes: Theory and Signal Processing ApplicationsA comprehensive textbook on probability theory, this authoritative resource includes relevant background material, provides extensive summaries of key results, and extends various statistical techniques to a range of applications in signal processing.
11h 40m
By John J. Shynk
