Statistical digital signal processing and modeling, Hayes, Monson H.
Автор: Lyons Название: Streamlining Digital Signal Processing: A Tricks of the Trade Guidebook, 2nd Edition ISBN: 1118278380 ISBN-13(EAN): 9781118278383 Издательство: Wiley Рейтинг: Цена: 44480 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Now in an updated second edition, this easily accessible book presents recent advances in digital signal processing (DSP) that simplify or increase the computational speed of common signal processing operations. The material is practical, real-world, with clever DSP tricks of the trade not covered in conventional DSP textbooks.
Название: Digital design of signal processing systems ISBN: 047074183X ISBN-13(EAN): 9780470741832 Издательство: Wiley Рейтинг: Цена: 56570 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Digital Design of Signal Processing Systems offers a practical guide to designing efficient digital systems, covering the complete spectrum of digital design from a DSP (digital signal processing) perspective.
Автор: Welch, Iii Название: Real-Time Digital Signal Processing from MATLAB® to C with the TMS320C6x DSPs, Second Edition ISBN: 1439883033 ISBN-13(EAN): 9781439883037 Издательство: Taylor&Francis Цена: 39800 T Наличие на складе: Поставка под заказ. Описание: Cell phones, GPS receivers, and CD players are just some of the products that rely on real-time digital signal processing (DSP). This book bridges theory and application of DSP using a step-by-step transition approach. It builds a practical framework that reinforces basic DSP theory using demonstrations, exercises, and projects, exploring MATLAB and real-time DSP hardware. The authors provide downloadable access to source code, example files, test signals, and executable programs required for presented examples, exercises, and projects. The book also offers solutions and challenges throughout.
Автор: Meyer-Baese Название: Digital Signal Processing with Field Programmable Gate Arrays ISBN: 3540726128 ISBN-13(EAN): 9783540726128 Издательство: Springer Рейтинг: Цена: 50060 T Наличие на складе: Поставка под заказ. Описание: Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing as novel FPGA families are replacing ASICs and PDSPs for front-end digital signal processing algorithms. So the efficient implementation of these algorithms is critical and is the main goal of this book. It 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 40 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, advanced algorithms with high future potential, and adaptive filters. 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 "Quartus II web edition" software. This edition has a new chapter on microprocessors, new sections on special functions using MAC calls, intellectual property core design and arbitrary sampling rate converters, and over 100 new exercises.
Автор: Istepanian Robert, Stojanovic Milica Название: Underwater Acoustic Digital Signal Processing and Communication Systems ISBN: 0792373049 ISBN-13(EAN): 9780792373049 Издательство: Springer Цена: 104020 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Underwater Acoustic Digital Signal Processing and Communication Systems describes new design and development methodologies in underwater acoustic signal processing. The emphasis is on experimental efforts and modern DSP implementations. The book assembles a number of contributions from authors who have contributed significantly to the field. The topics cover a broad range of underwater acoustic signal processing applications: underwater wireless communciations, array processing for mapping, detection and localization of objects, biotelemetry, speech processing for divers, acoustic imaging, and use of neural networks for underwater signal processing.
Автор: Fieguth Название: Statistical Image Processing and Multidimensional Modeling ISBN: 1441972935 ISBN-13(EAN): 9781441972934 Издательство: Springer Рейтинг: Цена: 72350 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.
Автор: Reay Donald Название: Digital Signal Processing and Applications Using the ARM Cor ISBN: 1118859049 ISBN-13(EAN): 9781118859049 Издательство: Wiley Рейтинг: Цена: 45100 T Наличие на складе: Поставка под заказ. Описание: Features inexpensive ARM(R) Cortex(R)-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics. This book presents a hands-on approach to teaching Digital Signal Processing (DSP) with real-time examples using the ARM(R) Cortex(R)-M4 32-bit microprocessor.
Автор: Mitra Sanjit Название: Digital Signal Processing with CD ISBN: 0071289461 ISBN-13(EAN): 9780071289467 Издательство: McGraw-Hill Рейтинг: Цена: 32340 T Наличие на складе: Поставка под заказ. Описание: Suitable for a two-semester course on digital signal processing for seniors or first-year graduate students, this book introduces the tools used in the analysis and design of discrete-time systems for signal processing. It features the use of MATLAB-based examples illustrating the program`s capability to solve signal processing problems.
Автор: Kundu Название: Statistical Signal Processing ISBN: 8132206274 ISBN-13(EAN): 9788132206279 Издательство: Springer Рейтинг: Цена: 22230 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Different real data sets have been analyzed to illustrate how different models can be used in practice. Several open problems have been indicated for future research.
Автор: Gray Название: An Introduction to Statistical Signal Processing ISBN: 0521838606 ISBN-13(EAN): 9780521838603 Издательство: Cambridge Academ Рейтинг: Цена: 40260 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
Автор: Schreier Название: Statistical Signal Processing of Complex-Valued Data ISBN: 0521897726 ISBN-13(EAN): 9780521897723 Издательство: Cambridge Academ Рейтинг: Цена: 44610 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs. The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes. Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography.
Автор: Jahromi Omid S. Название: Multirate Statistical Signal Processing ISBN: 1402053169 ISBN-13(EAN): 9781402053160 Издательство: Springer Рейтинг: Цена: 78020 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The ability to process signals at multiple sampling rates can help reduce costs and improve performance in many DSP applications ranging from signal compression to wireless communications, consumer entertainment products and sensor networks. The theory of multirate signal processing has witnessed a great deal of progress since the publication of the first textbook by Ronald E. Crochiere and Lawrence R. Rabiner in 1983. However, this progress has been mainly in the area of deterministic systems with emphasis on perfect-reconstruction filter banks, orthogonal filter banks, systems with the same sampling rate across all channels and tree-structured systems. Multirate Statistical Signal Processing introduces a statistical theory for extracting information from several related signals that have different sampling rates. This new theory generalizes the conventional (deterministic) theory of multirate systems beyond many of its constraints. Furthermore, it allows for the formulation and solution of several new problems such as spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing.The author presents background material, key principles, potential applications and leading-edge research while striking the appropriate balance between clarity and brevity. The book is self-contained and provides a valuable resource for signal processing researchers, graduate students and practicing engineers.
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