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Digital Signal Processing: WITH DSP Laboratory Using MATLAB: A Computer-Based Approach,2 Edition
"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises. New topics in the second edition include: finite-dimensional discrete-time systems, correlation of signals, inverse systems, system identification, matched filter, design of analog and IIR digital highpass, bandpass and bandstop filters, more on FIR filters, spectral analysis of random signals and sparse antenna array design. A corrected version of the main text is now packaged with Digital Signal Processing Laboratory using MATLAB, which is intended for a computer-based DSP laboratory course that supplements a lecture course on Digital Signal Processing. The lab book includes 11 laboratory exercises, with each exercise containing a number of projects to be carried out on a computer. The book assumes that the reader has no background in MATLAB and teaches the reader, through tested programs in the first half of the book, the basics of this powerful language in solving important problems in signal processing. In the second half of the book, the student is asked to write the necessary MATLAB programs to carry out the projects.
Introduction To Digital Signal Processing
This book is intended to be used in the first course covering digital signal
processing and filter design, typically offered at the senior or first-year
graduate level in electrical engineering. The course is also appropriate for a
graduate course in departments other than electrical engineering, such as
geophysics and mechanical engineering, in which the analysis of discrete"time
data is performed. It is assumed that the student has had a course covering
Fourier series and LaPlace transforms on the level of the first linear circuits or
control systems course. This text also includes projects that require students to
write computer programs to accomplish signal processing projects. The student
should bO'familiar with some programming language 'such as FORTRAN,
BASIC, PASCAL, or C.
This book approaches digital signal processing and filter design in a novel
way, by presenting the relevant theory and then having the student apply it by
implementing signal processing routines on a computer. This mixture of theory
and application has worked successfully for the past six years' in teaching this
course at Yale University. With this approach, the students receive a deeper
and intuitive understanding of the theory, its applications and its limitations.
The text can accommodate a wide variety of courses. Currently, the
course on digital filters at the undergraduate level are taught primarily as a
theory course, with homework problems and exams to determine the course
grade. This book can be used directly in this type of course. However, the
course becomes much more interesting and enjoyable when students apply the
theory to write programs to perform signal processing tasks...
Digital Signal Processing: WITH DSP Laboratory Using MATLAB: A Computer-Based Approach,2 Edition
Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises.
Conceptual Wavelets in Digital Signal Processing
Wavelets are incredibly powerful, but if you can t understand them, you can t use them or worse, blissfully misuse them!
CONCEPTUAL WAVELETS is unique as a complete, in-depth treatment of the subject but from an intuitive, conceptual point of view. In this book we stress informed use of wavelets and leave the mathematically rigorous proofs to other texts. We do look at some key equations (at a high-school algebra level)--but only after the concepts are demonstrated so you can see the wavelets (and their associated equations) in action.
FEATURES
--More than 400 illustrations, figures, graphics, tables, visual comparisons, etc. are provided to simplify and clarify the concepts. All of these visual aids are explained in detail using familiar language and terminology.
--Specific properties and suggested applications of the various wavelets and wavelet transforms are clearly shown using step-by-step walk-throughs, demonstrations, case studies, examples, and short tutorials.
--Numerous Jargon Alerts and other Plain English explanations bring you up to speed with the current wavelet nomenclature.
--References to some of the best traditional (and non-traditional) texts, papers, and websites are given for further application-specific study. We also familiarize you with wavelet software and show you how to read the results of their various displays.
--Both the strengths and the weaknesses of the various wavelet transforms are revealed to help you avoid common traps and pitfalls (such as loss of alias cancellation).
--This book clearly explains how to add (literally) another dimension to your signal processing capability by using wavelets to simultaneously determine the frequency, the time, and even the general shape of events and/or anomalies in your data.
The last acknowledgment is to you, the reader, for having the courage to embark on a journey that you probably have heard was difficult but that has the promise of rich rewards as you add the power of wavelet processing to your professional repertoire.
John A. Shedd in 1928 wrote A ship in harbor is safe but that is not what ships are built for . As you leave the safe harbor of conventional Digital Signal Processing to sail upon the wavelets, may you find the treasures you seek. Welcome Aboard!
Richard G. Lyons, "Understanding Digital Signal Processing"
Real-world DSP solutions for working professionals!
Understanding Digital Signal Processing, Second Edition is quite simply the best way for engineers, and other technical professionals, to master and apply DSP techniques. Lyons has updated and expanded his best-selling first edition-building on the exceptionally readable coverage that made it the favorite of professionals worldwide.
This book achieves the perfect balance between theory and practice, making DSP accessible to beginners without ever oversimplifying it. Comprehensive in scope and gentle in approach, keeping the math at a tolerable level, this book helps readers thoroughly grasp the basics and quickly move on to more sophisticated techniques.
Down-to-earth, intuitive, and example-rich, with detailed numerical exercises
Stresses practical, day-to-day DSP implementations and problem-solving
All-new quadrature processing coverage includes easy-to-understand 3D drawings
Extended coverage of IIR filters; plus frequency sampling, interpolated FIR filters
New coverage of multirate systems; including both polyphase and cascaded integrator-comb FIR filters
Coverage includes: periodic sampling, DFT, FFT, digital filters, discrete Hilbert transforms, sample rate conversion, quantization, signal averaging, and more.
Digital Signal Processing Fundamentals
Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications.
Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time�Frequency and Multirate Signal Processing.
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