Digital Signal Processing 101

Everything You Need to Know to Get Started

Häftad, Engelska, 2010

AvMichael Parker

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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

Produktinformation

Utgivningsdatum2010-05-26
Mått191 x 235 x undefined mm
Vikt510 g
FormatHäftad
SpråkEngelska
Antal sidor264
FörlagElsevier Science
ISBN9781856179218

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Michael Parker is responsible for Intel’s FPGA division digital signal processing (DSP) product planning. This includes Variable Precision FPGA silicon architecture for DSP applications, DSP tool development, floating point tools, IP and video IP. He joined Altera (now Intel) in January 2007, and has over 20 years of previous DSP engineering design experience with companies such as Alvarion, Soma Networks, Avalcom, TCSI, Stanford Telecom and several startup companies. He holds an MSEE from Santa Clara University, and BSEE from Rensselaer Polytechnic Institute.

Numerical Representation; Complex Numbers and Exponentials; Sampling, Aliasing, and Quantization; Frequency Response; Finite Impulse Response (FIR) Filters; Windowing; Decimation and Interpolation; Infinite Impulse Response (IIR) Filters; Complex Modulation and Demodulation; Discrete and Fast Fourier Transforms (DFT, FFT); Numerically Controlled Oscillators; Digital Up and Down Conversion; Error Corrective Coding; CDMA Modulation and Demodulation; OFDM Modulation and Demodulation; Discrete Cosine Transform (DCT); Video and Image Processing; Video Compression and Decompression; Implementation Using Digital Signal Processors; Implementation Using FPGAs; Design and Debug Methodology Trends; Future Implementation Trends; Q Format Shift with Fractional Multiplication; Evaluation of FIR Design Error Minimization; Laplace Transform; Z Transform