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This article provides a general understanding of what DSP is, how it works, and what advantages it can offer. To appreciate the advantages of DSP, let’s first have a look at the conventional method of signal processing, i.e., analog signal processing.
what are some interesting latest digital signal project topics? How to implement digital signal systems? Top 5 Research Areas in DSP.
Think DSP is an introduction to Digital Signal Processing in Python.
Signal processing has had and will continue to have considerably better times than it does today. In terms of time and other dimensions, the future of signal processing seems brighter and…
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…
The availability of the RTL-SDR device for less than $20 brings software defined radio (SDR) to the home and work desktops of EE students, professional engineers and the maker community. The RTL-SDR can be used to acquire and sample RF (radio frequency) signals transmitted in the frequency range 25MHz to 1.75GHz, and the MATLAB and Simulink environment can be used to develop receivers using first principles DSP (digital signal processing) algorithms. Signals that the RTL-SDR hardware can receive include: FM radio, UHF band signals, ISM signals, GSM, 3G and LTE mobile radio, GPS and satellite signals, and any that the reader can (legally) transmit of course! In this book we introduce readers to SDR methods by viewing and analysing downconverted RF signals in the time and frequency domains, and then provide extensive DSP enabled SDR design exercises which the reader can learn from. The hands-on SDR design examples begin with simple AM and FM receivers, and move on to the more challenging aspects of PHY layer DSP, where receive filter chains, real-time channelisers, and advanced concepts such as carrier synchronisers, digital PLL designs and QPSK timing and phase synchronisers are implemented. In the book we will also show how the RTL-SDR can be used with SDR transmitters to develop complete communication systems, capable of transmitting payloads such as simple text strings, images and audio across the lab desktop. | Author: Robert W Stewart, Kenneth W Barlee, Dale S W Atkinson | Publisher: Strathclyde Academic Media | Publication Date: Sep 11, 2015 | Number of Pages: 672 pages | Language: English | Binding: Hardcover | ISBN-10: 0992978726 | ISBN-13: 9780992978723
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…
This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved - the 2D transform, fast Fourier transform (FFT) and applications, and deconvolution - before introducing readers to higher-order statistics, wavelets, and neural networks. It also addresses the important topic of digital…
Signals: Continuous and Discrete is a practical, student-friendly textbook for introductory courses in signal processing. This textbook covers the material in a straightforward, easily digestible manner by focusing on the most critical information and developing an intuitive understanding of the underlying mathematics. Topics covered in the text include the Fourier series, the Fourier transform, systems and signals, pole-zero theory, convolution, sampling, and digital signal processing. Successfully classroom tested, Signals: Continuous and Discrete is a clear, concise textbook for upper division students and an excellent reference for graduate students or professionals in industry. Iyad Obeid is a professor of electrical and computer engineering at Temple University. Dr. Obeid holds a Ph.D. in biomedical engineering from Duke University. His research focuses on neural interfaces and biomedical signal acquisition and processing. He is the author of numerous professional publications and is a member of the IEEE.
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