Digital Signal Processing 101

Digital Signal Processing (DSP) is utilized in just about every electronic system or device. This book starts with the absolute basics of this integral process. Topics include sampling, modulation, and filters as well as implementation techniques. Real-world worked examples, reference designs, and tools including online applets that enable readers to visualize key principles complete a package that will help engineers who that needs to learn anew or refresh their memory on this essential technology as they move to projects that require DSP familiarity.

Digital Signal Processing (DSP) is utilized in various electronic systems or devices. This book starts with the absolute basics of this integral process. It includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems.

Autorentext
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.

Inhalt

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