Digital Signal Processing. Fundamentals and Applications. Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to Appendix F. Wavelet Analysis and Synthesis Equations. Discrete-time signals and systems, part 1. Network structures for finite impulse response FIR systems and parameter quantization effects in digital filter structures.
Design of IIR digital filters, part 2. Discrete-time signals and system. Join Taylor Hicks. Sign Up or Sign In. Powered by.
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As such, it willprovide a practical and useful guide to those engaged in signalprocessing. Author : Richard G. This book presents recent advances in DSP to simplify, or increase the computational speed of, common signal processing operations. This material is practical, real-world, DSP tips and tricks as opposed to the traditional highly-specialized, math-intensive, research subjects directed at industry researchers and university professors.
This book goes well beyond the standard DSP fundamentals textbook and presents new, but tried-and-true, clever implementations of digital filter design, spectrum analysis, signal generation, high-speed function approximation, and various other DSP functions. Author : Steven W. Introduction to Digital Signal Processing covers the basic theory and practice of digital signal processing DSP at an introductory level.
As with all volumes in the Essential Electronics Series, this book retains the unique formula of minimal mathematics and straightforward explanations.
The author has included examples throughout of the standard software design package, MATLAB and screen dumps are used widely throughout to illustrate the text.
Ideal for students on degree and diploma level courses in electric and electronic engineering, 'Introduction to Digital Signal Processing' contains numerous worked examples throughout as well as further problems with solutions to enable students to work both independently and in conjunction with their course. Assumes only minimum knowledge of mathematics and electronics Concise and written in a straightforward and accessible style Packed with worked examples, exercises and self-assesment questions.
Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response.
It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems.
Key topics such as spectral analysis, discrete-time systems, the sampling process, and digital filter design are all covered in well-illustrated detail. Digital signal processing DSP has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc.
Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text.
However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications.
Digital Signal Processing: Principles, Algorithms and System Design provides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course.
It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing.
Covers fundamental theories and analytical procedures that form the basis of modern DSP Shows practical implementation of DSP in software and hardware Includes Matlab for design and implementation of signal processing algorithms and related discrete time systems Bridges the gap between reference texts and the knowledge needed to implement DSP applications in software or hardware.
Author : Johnny R. Author : Muhammad Khan,Syed K. The subject of Digital Signal Processing DSP is enormously complex, involving many concepts, probabilities, and signal processing that are woven together in an intricate manner. With such organization, readers can see through the complexity of DSP, they learn about the distinct concepts and protocols in one part of the communication system while seeing the big picture of how all parts fit together.
From a pedagogical perspective, our personal experience has been that such approach indeed works well. The book is intended for a course on digital signal processing, for seniors and undergraduate students. The subject has high popularity in the field of electrical and computer engineering, and the authors consider all the needs and tools used in analysis and design of discrete time systems for signal processing.
Author : Dr. This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier.
Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications. Matlab programs for FIR filter design are provided as supplementary material online.
Written to be accessible to students of varying backgrounds, this textbook explains digital signal processing from both a theoretical and practical point of view Presents concepts in a clear, concise and comprehensive manner, so that students can learn easily this highly mathematical topic Provides detailed coverage of various types of filter design, including an introduction to the discrete wavelet transform Includes worked examples throughout every chapter, with an emphasis on real applications Includes numerous exercises at the end of each chapter Provides Matlab programs for FIR filter design, as supplementary material online.
Author : J. This book explores the Digital System Processing revolution that has drastically changed the way electronic circuits are designed, and created new possibilities deemed impossible using conventional analog circuitry. Chapter topics include the digital processing environment, building the signals, processing binary numbers, processing signals, spectral analysis, and implementing DSP systems.
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