Описание: Mathematical Summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt with in the DSP core subject, but used in DSP applications. It gives Matlab programs with illustrations.
Автор: Rao K. Deergha, Swamy M. N. S. Название: Digital Signal Processing: Theory and Practice ISBN: 9811080801 ISBN-13(EAN): 9789811080807 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter.
Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.
Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This second book focuses on recent developments in response to the demands of new digital technologies.
Автор: Jose Maria Giron-Sierra Название: Digital Signal Processing with Matlab Examples, Volume 1 ISBN: 9811025339 ISBN-13(EAN): 9789811025334 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study.
Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study.
Автор: Jose Maria Giron-Sierra Название: Digital Signal Processing with Matlab Examples, Volume 3 ISBN: 9811025398 ISBN-13(EAN): 9789811025396 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.
Автор: Jose Maria Giron-Sierra Название: Digital Signal Processing with Matlab Examples, Volume 2 ISBN: 9811025363 ISBN-13(EAN): 9789811025365 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.
Описание: It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering.
Описание: This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.
Автор: Kim Keonwook Название: Conceptual Digital Signal Processing with MATLAB ISBN: 9811525838 ISBN-13(EAN): 9789811525834 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ch. 1: Preliminary digital filter designCh. 2: Frequency and signals in discrete domainCh. 3: Fourier analysisCh. 4: Filters in time domainCh. 5: Z-transformCh. 6. Filter designCh. 7: Implementation mattersCh. 8: Filters with MatlabAppendix A: Matlab fundamentals
Introduction.- PART I. DSP BASICS.- Signals.- Orthogonal transforms.- DFT and DtFT Fourier transforms and signal spectra.- Fast Fourier transform algorithms for DFT.- FFT-based signal spectra of DtFT, PSD, STFT.- Modern spectral analysis using linear prediction and signal subspaces.- Analog filters.- Digital filters.- Digital IIR filters.- Digital FIR filters.- Fast FIR filters.- FIR filtering in signal up- and down-sampling.- FIR NLMS and RLS adaptive filters.- PART II. DSP IN MULTIMEDIA.- Speech coding.- Audio coding.- Image processing and coding.- PART III. DSP IN TRANSMISSION.- FIR Hilbert filter and analytic signals.- FM modulation and demodulation, IQ components.- AM modulation and demodulation.- Digital DBPSK (de)modulation.- Software stereo FM+RDS radio transmitter and receiver.- Software RDS BIT decoder with down-sampling and Costas loop.- Software RDS TEXT decoder.- Software DAB radio receiver.- Software DAB radio receiver.- Software DAB radio receiver.- Software DAB radio receiver.- Software ADSL receiver.- Conclusion.
Автор: Raoul R Nigmatullin Название: New Digital Signal Processing Methods ISBN: 3030453588 ISBN-13(EAN): 9783030453589 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book is intended as a manual on modern advanced statistical methods for signal processing. The objectives of signal processing are the analysis, synthesis, and modification of signals measured from different natural phenomena, including engineering applications as well. Often the measured signals are affected by noise, distortion and incompleteness, and this makes it difficult to extract significant signal information. The main topic of the book is the extraction of significant information from measured data, with the aim of reducing the data size while keeping the basic information/knowledge about the peculiarities and properties of the analyzed system; to this aim, advanced and recently developed methods in signal analysis and treatment are introduced and described in depth. More in details, the book covers the following new advanced topics (and the corresponding algorithms), including detailed descriptions and discussions: the Eigen-Coordinates (ECs) method, The statistics of the fractional moments, The quantitative "universal" label (QUL) and the universal distribution function for the relative fluctuations (UDFRF), the generalized Prony spectrum, the Non-orthogonal Amplitude Frequency Analysis of the Smoothed Signals (NAFASS), the discrete geometrical invariants (DGI) serving as the common platform for quantitative comparison of different random functions. Although advanced topics are discussed in signal analysis, each subject is introduced gradually, with the use of only the necessary mathematics, and avoiding unnecessary abstractions. Each chapter presents testing and verification examples on real data for each proposed method. In comparison with other books, here it is adopted a more practical approach with numerous real case studies.
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