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Name of resource. Problem URL. Describe the connection issue. Toggle navigation Back to results. Responsibility Rulph Chassaing, Donald Reay. It not only presents the theory, it reinforces it with simulations, and then it shows us how to actually use the results in real-time applications. This last step is not a trivial step, and that is why so many books, and courses, present only theory and simulations. With the combined expertise of the three authors of this textethe reader can step into the real-time world of applications with a text that presents an accessible pathe" e"Delores M.
It is even more difficult without a resource to bridge the gap between theory and practice. This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB application. Engineers, educators, and students rely on this book for precise, simplified instruction on use of real-time DSP applications.
The booke tm s software supports the latest high-performance hardware, including the powerful, inexpensive, and versatile OMAP-L Experimenter Kit and other development boards. Get Books. Here is a valuable book for a first undergraduate course in discrete systems and digital signal processing DSP and for in-practice engineers seeking a self-study text on the subject.
Fundamentals and first principles central to most. Books on linear systems typically cover both discrete and continuous systems together in one book. However, with coverage of this magnitude, not enough information is presented on either of the two subjects. Introductory Signal Processing. A valuable introduction to the fundamentals of continuous and discrete time signal processing, this book is intended for the reader with little or no background in this subject.
Most chapters begin with a theoretical discussion followed byrepresentative examples. Many digital control circuits in current literature are described using analog transmittance. This may not always be acceptable, especially if the sampling frequency and power transistor switching frequencies are close to the band of interest. Therefore, a digital circuit is considered as a digital controller rather than an analog circuit.
This helps to avoid errors and instability in high frequency components. Digital Signal Processing in Power Electronics Control Circuits covers problems concerning the design and realization of digital control algorithms for power electronics circuits using digital signal processing DSP methods. This book bridges the gap between power electronics and DSP. The following realizations of digital control circuits are considered: digital signal processors, microprocessors, microcontrollers, programmable digital circuits.
Discussed in this book is signal processing, starting from analog signal acquisition, through its conversion to digital form, methods of its filtration and separation, and ending with pulse control of output power transistors. The book is focused on two applications for the considered methods of digital signal processing: an active power filter and a digital class D power amplifier.
The major benefit to readers is the acquisition of specific knowledge concerning discussions on the processing of signals from voltage or current sensors using a digital signal processor and to the signals controlling the output inverter transistors. Included are some Matlab examples for illustration of the considered problems. Such lab or project courses are currently being offered at many universities, both at undergraduate and graduate levels, as a follow-up to DSP theory courses.
Currently, there is not a DSP laboratory book using system-level graphical programming. Growing numbers of users of LabVIEW in both academia and industry will benefit by having in one place the information they need to perform high-level design of DSP systems.
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software.
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