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Digital Signal Processing 101

Everything You Need to Know to Get Started

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Digital Signal Processing 101 Michael Parker
Libristo kod: 15378712
Nakladnici NEWNES, lipanj 2017
Digital Signal Processing: Everything You Need to Know to Get Started provides a basic tutorial on d... Cijeli opis
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Digital Signal Processing: 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 with minimum 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 has been updated to include the latest developments in Digital Signal Processing, and has seven new chapters on: FMCW Radar Signal Processing Space-Time Adaptive Processing RadarField Orientated Motor Control Matrix Inversion algorithms Discrete Cosine Transform Machine Learning Video compression Updated with Seven new chapters on FMCW Radar Signal Processing, Space-Time Adaptive Processing Radar, Field Orientated Motor Control, Matrix Inversion algorithms, Discrete Cosine Transform, Machine Learning and Video compressionClear examples and a non-mathematical approach gets you up to speed quickly Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

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Informacije o knjizi

Puni naziv Digital Signal Processing 101
Autor Michael Parker
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2017
Broj stranica 432
EAN 9780128114537
ISBN 0128114533
Libristo kod 15378712
Nakladnici NEWNES
Težina 900
Dimenzije 191 x 235 x 25

Kategorija

Computing & Information Technology > Computer science > Signal processing
Technology, Engineering, Agriculture > Electronics & communications engineering
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