Digital Signal Processing

Author: John G. Proakis
Publisher:
ISBN: 9780132287319
Format: PDF, ePub, Mobi
Download Now
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

Author: Sanjit Kumar Mitra
Publisher: Wcb/McGraw-Hill
ISBN: 9780073380490
Format: PDF
Download Now
'Digital Signal Processing' introduces the tools used in the analysis and design of discrete-time systems for signal processing.

Digital Signal Processing Using MATLAB

Author: Vinay Ingle
Publisher: Cengage Learning
ISBN: 1111427372
Format: PDF, ePub
Download Now
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.

Advanced Digital Signal Processing and Noise Reduction

Author: Saeed V. Vaseghi
Publisher: John Wiley & Sons
ISBN: 0470740167
Format: PDF, ePub, Mobi
Download Now
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

Author: John G. Proakis
Publisher:
ISBN:
Format: PDF, ePub, Mobi
Download Now
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.

Practical Signal Processing

Author: Mark Owen
Publisher: Cambridge University Press
ISBN: 0521854784
Format: PDF, Kindle
Download Now
This book, first published in 2007, introduces the basic theory of digital signal processing, with emphasis on real-world applications.

Digital Signal Processing

Author: John G. Proakis
Publisher:
ISBN: 9788120330306
Format: PDF, ePub, Mobi
Download Now
Contenido: Introducción; Señales y sistemas en tiempo discreto; La transformada z y sus aplicaciones en el análisis de sistemas LTI; Análisis frecuencial de señales y sistemas; La transformada de Fourier discreta: sus propiedades y aplicaciones; Cálculo eficiente de la DFT: algoritmos para la transformada rápida de Fourier; Implementación de sistemas en tiempo discreto; Diseño de filtros digitales; Muestreo y reconstrucción de señales; Proceso digital de tasa múltiple; Predicción lineal y filtros lineales óptimos; Estimación espectral de potencia; Apéndices.

Digital Signal Processing with Student CD ROM

Author: Sanjit Mitra
Publisher: McGraw-Hill Education
ISBN: 9780077366766
Format: PDF
Download Now
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.

Understanding Digital Signal Processing

Author: Richard G. Lyons
Publisher: Pearson Education
ISBN: 9780137028528
Format: PDF, ePub, Docs
Download Now
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