Description
A mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction is provided by this book. The book covers various aspects of the digital signal processing (DSP) “problem”. It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book – covering digital to analog and analog to digital conversion – provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters. The Analysis of Discrete-time Signals.- Understanding Sampling.- Signal Reconstruction.- Time-limited Functions Are Not Band-limited.- Fourier Analysis and the Discrete Fourier Transform.- Windowing.- Signal Generation with the Help of MATLAB.- The Spectral Analysis of Random Signals.- Analog to Digital and Digital to Analog Converters.- The General Structure of Sampled-data Systems.- The Operational Amplifier: An Overview.- A Simple Digital to Analog Converter.- The Binary Weighted DAC.- The R-2R Ladder DAC.- The Successive Approximation Analog to Digital Converter.- The Single- and Dual-slope Analog to Digital Converters.- The Pipelined A/D.- Resistor-chain Converters.- Sigma-Delta Converters.- Digital Filters.- Discrete-time Systems and the Z-transform.- Filter Types.- When to Use C (Rather than Assembly Language).- Two Simple FIR Filters.- Very-narrow-band Filters.- Design of IIR Digital Filters: The Old-fashioned Way.- New Filters from Old.- Implementing an IIR Digital Filter.- IIR Filter Design Using MATLAB.- Group Delay and Phase Delay in Filters.- Design of FIR Filters.- Implementing a Hilbert Filter.- The Goertzel Algorithm.
