Search Results for "digital-signal-processing-4th-edition"

Digital Signal Processing

Digital Signal Processing

  • Author: John G. Proakis,Dimitris G. Manolakis
  • Publisher: N.A
  • ISBN: 9780132287319
  • Category: Signal processing
  • Page: 948
  • View: 1338
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A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

Digital Signal Processing Using MATLAB

Digital Signal Processing Using MATLAB

  • Author: Vinay Ingle,John Proakis
  • Publisher: Cengage Learning
  • ISBN: 1111427372
  • Category: Technology
  • Page: 624
  • View: 7793
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In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Digital Signal Processing

Digital Signal Processing

A Computer-based Approach

  • Author: Sanjit Kumar Mitra
  • Publisher: Wcb/McGraw-Hill
  • ISBN: 9780073380490
  • Category: Technology & Engineering
  • Page: 940
  • View: 7030
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'Digital Signal Processing' introduces the tools used in the analysis and design of discrete-time systems for signal processing.

Advanced Digital Signal Processing and Noise Reduction

Advanced Digital Signal Processing and Noise Reduction

  • Author: Saeed V. Vaseghi
  • Publisher: John Wiley & Sons
  • ISBN: 0470740167
  • Category: Science
  • Page: 544
  • View: 3085
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Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

Algorithms for Statistical Signal Processing

Algorithms for Statistical Signal Processing

  • Author: John G. Proakis
  • Publisher: N.A
  • ISBN: N.A
  • Category: Technology & Engineering
  • Page: 564
  • View: 2778
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Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on advanced topics ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.

Digital Signal Processing with Student CD ROM

Digital Signal Processing with Student CD ROM

  • Author: Sanjit Mitra
  • Publisher: McGraw-Hill Education
  • ISBN: 9780077366766
  • Category: Technology & Engineering
  • Page: 940
  • View: 5958
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Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book’s content, based on reviewer and student comments.

Essentials of Digital Signal Processing

Essentials of Digital Signal Processing

  • Author: B. P. Lathi,Roger A. Green
  • Publisher: Cambridge University Press
  • ISBN: 1107059321
  • Category: Computers
  • Page: 760
  • View: 9131
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This textbook offers a fresh approach to digital signal processing (DSP) that combines heuristic reasoning and physical appreciation with sound mathematical methods to illuminate DSP concepts and practices. It uses metaphors, analogies and creative explanations, along with examples and exercises to provide deep and intuitive insights into DSP concepts. Practical DSP requires hybrid systems including both discrete- and continuous-time components. This book follows a holistic approach and presents discrete-time processing as a seamless continuation of continuous-time signals and systems, beginning with a review of continuous-time signals and systems, frequency response, and filtering. The synergistic combination of continuous-time and discrete-time perspectives leads to a deeper appreciation and understanding of DSP concepts and practices. • For upper-level undergraduates • Illustrates concepts with 500 high-quality figures, more than 170 fully worked examples, and hundreds of end-of-chapter problems, more than 150 drill exercises, including complete and detailed solutions • Seamlessly integrates MATLAB throughout the text to enhance learning

Understanding Digital Signal Processing

Understanding Digital Signal Processing

  • Author: Richard G. Lyons
  • Publisher: Pearson Education
  • ISBN: 9780137028528
  • Category: Technology & Engineering
  • Page: 944
  • View: 7216
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Amazon.com’s Top-Selling DSP Book for Seven Straight Years—Now Fully Updated! Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP techniques. Richard G. Lyons has updated and expanded his best-selling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide. He has also added hands-on problems to every chapter, giving students even more of the practical experience they need to succeed. Comprehensive in scope and clear in approach, this book achieves the perfect balance between theory and practice, keeps math at a tolerable level, and makes DSP exceptionally accessible to beginners without ever oversimplifying it. Readers can thoroughly grasp the basics and quickly move on to more sophisticated techniques. This edition adds extensive new coverage of FIR and IIR filter analysis techniques, digital differentiators, integrators, and matched filters. Lyons has significantly updated and expanded his discussions of multirate processing techniques, which are crucial to modern wireless and satellite communications. He also presents nearly twice as many DSP Tricks as in the second edition—including techniques even seasoned DSP professionals may have overlooked. Coverage includes New homework problems that deepen your understanding and help you apply what you’ve learned Practical, day-to-day DSP implementations and problem-solving throughout Useful new guidance on generalized digital networks, including discrete differentiators, integrators, and matched filters Clear descriptions of statistical measures of signals, variance reduction by averaging, and real-world signal-to-noise ratio (SNR) computation A significantly expanded chapter on sample rate conversion (multirate systems) and associated filtering techniques New guidance on implementing fast convolution, IIR filter scaling, and more Enhanced coverage of analyzing digital filter behavior and performance for diverse communications and biomedical applications Discrete sequences/systems, periodic sampling, DFT, FFT, finite/infinite impulse response filters, quadrature (I/Q) processing, discrete Hilbert transforms, binary number formats, and much more

Digital Signal Processing in Communications Systems

Digital Signal Processing in Communications Systems

  • Author: Marvin Frerking
  • Publisher: Springer Science & Business Media
  • ISBN: 1475749902
  • Category: Science
  • Page: 624
  • View: 689
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An engineer's introduction to concepts, algorithms, and advancements in Digital Signal Processing. This lucidly written resource makes extensive use of real-world examples as it covers all the important design and engineering references.

Applied Digital Signal Processing

Applied Digital Signal Processing

Theory and Practice

  • Author: Dimitris G. Manolakis,Vinay K. Ingle
  • Publisher: Cambridge University Press
  • ISBN: 1139495739
  • Category: Technology & Engineering
  • Page: 1008
  • View: 6959
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Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.

Student Manual for Digital Signal Processing with MATLAB

Student Manual for Digital Signal Processing with MATLAB

  • Author: John G. Proakis,Vinay K. Ingle
  • Publisher: Prentice Hall
  • ISBN: 9780131991088
  • Category: Computers
  • Page: 256
  • View: 1476
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Digital Signal Processing

Digital Signal Processing

A Practical Approach

  • Author: Emmanuel C. Ifeachor,Barrie W. Jervis
  • Publisher: Prentice Hall
  • ISBN: N.A
  • Category: Technology & Engineering
  • Page: 760
  • View: 4217
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This book clearly explains digital signal processing principles and shows how they can be used to build DSP systems. The aim is to give enough insight and practical guidance to enable an engineer to construct DSP systems. The book's programs are written in C, the language used in DSP.

Digital Signal Processing and the Microcontroller

Digital Signal Processing and the Microcontroller

  • Author: Dale Grover,John R. Deller
  • Publisher: Prentice Hall
  • ISBN: 9780130813480
  • Category: Technology & Engineering
  • Page: 535
  • View: 2332
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8134H-5 The friendly, intuitive approach to microcontroller-based DSP! If you actually want to process signals -- not just theorize about digital signal processing -- this is the book for you. It's a friendly, informal guide to understanding -- and implementing -- digital signal processing with microcontrollers. You'll find enough theory to keep you on track (and a brief refresher on the basic math you'll need -- with no calculus!) But the focus is on real-world applications, especially specifying, designing, and implementing digital filters, and using fast Fourier transform. Coverage includes: The big picture: What DSP can and cannot do. Analog systems, signals and filters. Discrete-time signals and systems. FIR and IIR filters. Microcontroller filter implementation. Frequency analysis, correlation, sampling and signal synthesis. Digital Signal Processing and the Microcontroller includes extensive examples and assembler code based on Motorola's powerful 16-bit M68HC16 microcontroller -- and expert DSP insights you can use with any processor. Whether you have a formal electrical engineering background or not, it's all you need to get results with DSP fast. The accompanying website contains extensive source code for the MC68HC16 microcontroller, including assembler code for DSP filters and other applications; a complete set of MC68HC16 documentation in PDF format; MATLAB m-files for selected examples, and more.

Digital Signal Processing with Field Programmable Gate Arrays

Digital Signal Processing with Field Programmable Gate Arrays

  • Author: Uwe Meyer-Baese
  • Publisher: Springer Science & Business Media
  • ISBN: 3662067285
  • Category: Technology & Engineering
  • Page: 527
  • View: 4822
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Starts with an overview of today's FPGA technology, devices, and tools for designing state-of-the-art DSP systems. A case study in the first chapter is the basis for more than 30 design examples throughout. The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, and advanced algorithms with high future potential. Each chapter contains exercises. The VERILOG source code and a glossary are given in the appendices, while the accompanying CD-ROM contains the examples in VHDL and Verilog code as well as the newest Altera "Baseline" software. This edition has a new chapter on adaptive filters, new sections on division and floating point arithmetics, an up-date to the current Altera software, and some new exercises.

Digital Signal Processing: Principles, Algorithms, And Applications, 4/E

Digital Signal Processing: Principles, Algorithms, And Applications, 4/E

  • Author: John G. Proakis
  • Publisher: Pearson Education India
  • ISBN: 9788131710005
  • Category: Signal processing
  • Page: 1156
  • View: 2724
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Signals and Systems

Signals and Systems

  • Author: Alan V. Oppenheim,Alan S. Willsky
  • Publisher: N.A
  • ISBN: 9781292025902
  • Category: Signal theory (Telecommunication)
  • Page: 948
  • View: 7870
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For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms.