Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...
The only book to offer special coverage of the fundamentals of multicore DSP for implementation on the TMS320C66xx SoC
This unique book provides readers with an understanding of the TMS320C66xx SoC as well as its constraints. It offers critical analysis of each element, which not only broadens their knowledge of...
"A practical guide to using the TMS320C31 DSP Starter Kit
With applications and demand for high-performing digital signal processors expanding rapidly, it is becoming increasingly important for today's students and practicing engineers to master real-time digital signal processing (DSP) techniques.
From industrial and teaching experience the authors provide a blend of theory and practice of digital signal processing (DSP) for advanced undergraduate and post-graduate engineers reading electronics. This fast-moving, developing area is driven by the information technology revolution. It is a source book in research and development for...
Inventors at Work: The Minds and Motivation Behind Modern Inventions is a collection of interviews with inventors of famous products, innovations, and technologies that have made life easier or even changed the way we live. All of these scientists, engineers, wild-eyed geniuses, and amateur technologists have dedicated their...
Today's embedded and real-time systems contain a mix of processor types: off-the-shelf microcontrollers, digital signal processors (DSPs), and custom processors. The decreasing cost of DSPs has made these sophisticated chips very attractive for a number of embedded and real-time applications, including automotive, telecommunications, medical...
In recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today’s engineering fields because of the demand for high performance, low-cost digital...
Field-Programmable Gate Arrays (FPGAs) are on the verge of revolutionizing digital signal processing. Novel FPGA families are replacing ASICs and PDSPs for front end digital signal processing algorithms more and more. The efficient implementation of these algorithms is the main goal of this book. It starts with an overview of today's FPGA...
In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis....
If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone,...
Today's electronic design and test engineers deal with several types of subsystems, namely, digital, memory, and mixed-signal, each requiring different test and design for testability methods. This book provides a careful selection of essential topics on all three types of circuits. The outcome of testing is product quality, which means `meeting...
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors...
