Digital Signal Processing 101

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• Publisher : Newnes
• Release : 26 May 2010
• ISBN : 1856179222
• Page : 264 pages
• Rating : 4.5/5 from 103 voters

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples and a minimum of mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book is intended for those who have absolutely no previous experience with DSP, but are comfortable with high-school-level math skills. It is also for those who work in or provide components for industries that are made possible by DSP. Sample industries include wireless mobile phone and infrastructure equipment, broadcast and cable video, DSL modems, satellite communications, medical imaging, audio, radar, sonar, surveillance, and electrical motor control. Dismayed when presented with a mass of equations as an explanation of DSP? This is the book for you! Clear examples and a non-mathematical approach gets you up to speed with DSP Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

Digital Signal Processing 101

• Author : Michael Parker
• Publisher : Newnes
• Release Date : 2010-05-26
• ISBN : 1856179222

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples and a minimum of mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction

Digital Signal Processing

• Author : Lizhe Tan,Jean Jiang
• Release Date : 2013-01-21
• ISBN : 9780124159822

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to

Digital Signal Processing: Instant Access

• Author : James D. Broesch
• Publisher : Elsevier
• Release Date : 2008-11-25
• ISBN : 9780080560137

Digital signal processing is commonplace in most electronics including MP3 players, HDTVs, and phones, just to name a few of the applications. The engineers creating these devices are in need of essential information at a moment's notice. The Instant Access Series provides all the critical content that a signal or communications engineer needs in his or her daily work. This book provides an introduction to DSPs as well as succinct overviews of linear systems, digital filters, and digital compression. This

Digital Signal Processing: A Practical Guide for Engineers and Scientists

• Author : Steven Smith
• Publisher : Elsevier
• Release Date : 2013-10-22
• ISBN : 9780080477329

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Covers all major DSP topics Full of insider information and shortcuts Basic techniques and algorithms explained without complex numbers

Applied Digital Signal Processing

• Author : Dimitris G. Manolakis,Vinay K. Ingle
• Publisher : Cambridge University Press
• Release Date : 2011-11-21
• ISBN : 9781139495738

Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of

The Essential Guide to Digital Signal Processing

• Author : Richard G. Lyons,D. Lee Fugal
• Publisher : Prentice Hall
• Release Date : 2014-05-15
• ISBN : 9780133804737

How signal processing works: clear, simple explanations in plain English Breakthrough DSP applications: from smartphones to healthcare and beyond Covers both digital and analog signals An indispensable resource for tech writers, marketers, managers, and other nonengineers The Complete DSP Guide for Businesspeople and Nontechnical Professionals Digital signal processing (DSP) technology is everywhere–each time you use a smartphone, tablet, or computer; play an MP3; watch a digital TV or DVD; get GPS directions; play a video game; take a digital

Digital Signal Processing System Design

• Author : Nasser Kehtarnavaz
• Publisher : Elsevier
• Release Date : 2011-08-29
• ISBN : 0080483453

Digital Signal Processing System Design combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of building and analyzing DSP systems. The hybrid programming approach allows the use of previously developed textual programming solutions to be integrated into LabVIEW’s highly interactive and visual environment, providing an easier and quicker method for building DSP systems. This book is an ideal introduction for engineers and students seeking to develop DSP systems in quick time. Features:

Streamlining Digital Signal Processing

• Author : Richard G. Lyons
• Publisher : John Wiley & Sons
• Release Date : 2012-05-29
• ISBN : 9781118316931

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,

Digital Signal Processing Primer

• Author : Kenneth Steiglitz
• Publisher : Courier Dover Publications
• Release Date : 2020-11-18
• ISBN : 9780486845838

Informal, easy-to-understand introduction covers phasors and tuning forks, wave equation, sampling and quantizing, feedforward and feedback filters, comb and string filters, periodic sounds, transform methods, and filter design. 1996 edition.

Real-time Digital Signal Processing

• Author : Sen-Maw Kuo
• Publisher : 清华大学出版社有限公司
• Release Date : 2003
• ISBN : 7302077002

Digital Signal Processing

• Author : Paulo S. R. Diniz,Eduardo A. B. da Silva,Sergio L. Netto
• Publisher : Cambridge University Press
• Release Date : 2002-04-18
• ISBN : 1139433504

Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an

Essentials of Digital Signal Processing

• Author : B. P. Lathi,Roger A. Green
• Publisher : Cambridge University Press
• Release Date : 2014-04-28
• ISBN : 9781107059320

Offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with mathematical methods.

Digital Signal Processing and Statistical Classification

• Author : George J. Miao,Mark A. Clements
• Publisher : Artech House
• Release Date : 2002
• ISBN : 1580531350

This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/

A DSP Primer

• Author : Kenneth Steiglitz
• Publisher : Prentice Hall
• Release Date : 1996
• ISBN : UCSD:31822023629173

This new book by Ken Steigliz offers an informal and easy-to-understand introduction to digital signal processing, emphasizing digital audio and applications to computer music. A DSP Primer covers important topics such as phasors and tuning forks; the wave equation; sampling and quantizing; feedforward and feedback filters; comb and string filters; periodic sounds; transform methods; and filter design. Steiglitz uses an intuitive and qualitative approach to develop the mathematics critical to understanding DSP. A DSP Primer is written for a broad

Digital Signal Processing and Spectral Analysis for Scientists

• Author : Silvia Maria Alessio
• Publisher : Springer
• Release Date : 2015-12-09
• ISBN : 9783319254685

This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields