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This book presents recent advances in DSP to simplify, or increase the computational speed of, common signal processing operations. The topics describe clever DSP tricks of the trade not covered in conventional DSP textbooks. This material is practical, real-world, DSP tips and tricks as opposed to the traditional highly-specialized, math-intensive, research subjects directed at industry researchers and university professors. This book goes well beyond the standard DSP fundamentals textbook and presents new, but tried-and-true, clever implementations of digital filter design, spectrum analysis, signal generation, high-speed function approximation, and various other DSP functions.

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Find the pinnacle of advanced signal processing with the Sony PFV-SP3300, a compact yet sophisticated 3RU frame designed to accommodate up to 17 HKPF-SP series modules. This high-tech device is engineered to support a wide array of HKSP/HKPF-SP boards, including but not limited to the HKPF-SP003 Digital Video Distribution Amp, HKPF-SP021 Optical to Electrical Converter, and the HKSP-300 Processing Module Controller. This innovative signal processing frame is equipped with a backup power supply unit, the HK-PSU03, ensuring uninterrupted operation even in the most demanding professional settings. With the addition of a CPU option, remote monitoring and control become a breeze, making it an ideal choice for professionals in the audio and video production industry.When equipped with an HKSP-300 processing module controller, the Sony PFV-SP3300 allows for seamless management of PFV-SP Series processing boards via a LAN 100Base-T Ethernet network. This state-of-the-art feature enhances networking capabilities, enabling centralized monitoring and control with remote capability via LAN/WAN or Internet.The Sony PFV-SP3300 is not just about power and performance, it also boasts a compact design. Despite its small 3RU frame, it can house up to 17 HKPF-SP series modules, making it an efficient space-saving solution without compromising on functionality.Experience the reliability of this device with its hot-swappable backup power supply and CPU options. Plus, its multi-format and multi-bit rate support make it an ideal migration path from SD to HD. Discover the Sony PFV-SP3300, where advanced technology meets professional-grade performance in signal processing.

Furman Signal Processing Stereo Compressor / Gate Model LC-6 Audio Rack Unit

This professional reference provides thorough coverage of digital signal processing techniques and all essential theory—extensively supported by examples, but not dependent on calculus. Motivated learners (even those several years out of school) will be able to master the major DSP methods presented here with step-by-step explanations. The book contains a variety of interesting and in-depth DSP explorations to help establish the link between theory and practice—and give readers a sense of how DSP is used, and an introduction to hardware and software for digital signal processors. For Electrical and Electronics Engineers, Electronics Technologists, Electronics Engineering Technologists, Computer Engineering Technologists, and Researchers.

Relying heavily on MATLAB® problems and examples, as well as simulated data, this text/reference surveys a vast array of signal and image processing tools for biomedical applications, providing a working knowledge of the technologies addressed while showcasing valuable implementation procedures, common pitfalls, and essential application concepts. The first and only textbook to supply a hands-on tutorial in biomedical signal and image processing, it offers a unique and proven approach to signal processing instruction, unlike any other competing source on the topic. The text is accompanied by a CD with support data files and software including all MATLAB examples and figures found in the text.

This updated edition concentrates on modern analysis and design. Includes new material in the key areas of digital communications, fiber optics, lightwave networks, atmospheric channels and space links--all of which are now critical topics in optical applications. Contains brief sections on optical hardware and device descriptions. Features new homework problems and references.

Includes extensive examples and assembler code based on Motorola's powerful 16-bit M68HC16 microcontroller, and expert DWP insights for use with any processor. DLC: Digital control systems.

The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built.  For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.

A central goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression. For electrical engineers and computer scientists.

Shrinking pixel sizes along with improvements in image sensors, optics, and electronics have elevated DSCs to levels of performance that match, and have the potential to surpass, that of silver-halide film cameras. Image Sensors and Signal Processing for Digital Still Cameras captures the current state of DSC image acquisition and signal processing technology and takes an all-inclusive look at the field, from the history of DSCs to future possibilities.The first chapter outlines the evolution of DSCs, their basic structure, and their major application classes. The next few chapters discuss high-quality optics that meet the requirements of better image sensors, the basic functions and performance parameters of image sensors, and detailed discussions of both CCD and CMOS image sensors. The book then discusses how color theory affects the uses of DSCs, presents basic image processing and camera control algorithms and examples of advanced image processing algorithms, explores the architecture and required performance of signal processing engines, and explains how to evaluate image quality for each component described. The book closes with a look at future technologies and the challenges that must be overcome to realize them.With contributions from many active DSC experts, Image Sensors and Image Processing for Digital Still Cameras offers unparalleled real-world coverage and opens wide the door for future innovation.

The book presents the fundamentals of DSP using examples from common science and engineering problem

DSP is a very math intensive subject and one would require a deep understanding in mathematics to understand various aspects of DSP. Although there are many books which cover DSP extensively, most of them or all of them would require a ton of mathematics to understand even the most fundamental concepts. For a first timer in DSP, getting their heads around advanced math topics like Fourier transform etc is a very hard task. Most students tend to lose interest in DSP, because of this sole reason. Students don't stick around long enough to discover how beautiful a subject DSP is. In this book, explainations of the various fundamental concepts are given in an intuitive manner with minimum maths. Also, the various topics are connected with real life situations wherever possible. This way even the first timers can learn the basics of DSP with minimum effort. Hopefully the students will enjoy this different approach to DSP. The various concepts of the subject are arranged logically and explained in a simple reader-friendly language with MATLAB examples.

Prentice Hall 1984. Authors N.S. and Noll, Petter Jayant book on image, video and speech coding.

This book is intended for use in a first course on digital signal processing in either an undergraduate course or in a first-year graduate course. The emphasis taken is that of stressing fundamental issues and not of giving an encyclopedic treatment of the many signal processing algorithms available. The primary goal of this book is to provide a self-contained treatment of the fundamental principles of signal processing in which the underlying signals may be deterministic or nondeterministic. To supplement the learning process, a list of selected answers to the many problems that appear at the end of each chapter and a set of computer program problems illustrating the theoretical concepts are included.

This book provides a comprehensive review of the state-of-the art of optical signal processing technologies and devices. It presents breakthrough solutions for enabling a pervasive use of optics in data communication and signal storage applications. It presents presents optical signal processing as solution to overcome the capacity crunch in communication networks. The book content ranges from the development of innovative materials and devices, such as graphene and slow light structures, to the use of nonlinear optics for secure quantum information processing and overcoming the classical Shannon limit on channel capacity and microwave signal processing.Although it holds the promise for a substantial speed improvement, today’s communication infrastructure optics remains largely confined to the signal transport layer, as it lags behind electronics as far as signal processing is concerned. This situation will change in the near future as the tremendous growth of data traffic requires energy efficient and fully transparent all-optical networks. The book is written by leaders in the field.

Undoubtably one of the key factors influencing recent technology has been the advent of high speed computational tools. Virtually every advanced engi­ neering system we come in contact with these days depends upon some form of sampling and digital signal processing. Well known examples are digital tele­ phone systems, digital recording of audio signals and computer control. These developments have been matched by the appearance of a plethora of books which explain a variety of analysis, synthesis and design tools applica­ ble to sampled-data systems. The reader might therefore wonder what is distinc­ tive about the current book. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are tak­ en. The alternative point of view, adopted in this book, is to formulate the analy­ sis in such a way that the user is constantly reminded of the presence of the under­ lying continuous-time signals. We thus give emphasis to two aspects of sampled-data analysis: Firstly, we formulate the various algorithms so that the appropriate contin­ uous-time case is approached as the sampling rate increases. Secondly we place emphasis on the continuous-time output response rath­ er than simply focusing on the sampled response.

An introduction to the field of estimation theory. It is in a lesson format and so can be used for self-study or in a one semester course. The computation that is essential in order to use the estimation algorithms, is associated with MATLAB and its associated tool boxes.

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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.