Feuer A., Goodwin G.C. Sampling in Digital Signal Processing and Control

Birkhäuser, 1996. — 570.Undoubtably one of the key factors influencing recent technology has been the advent of high speed computational tools. Virtually every advanced engineering system we come in contact with these days depends upon some form of sampling and digital signal processing. Well known examples are digital telephone systems, digital recording of audio signals and computer control. These developments have been matched by the appearance of a plethora of books which explain a variety of analysis, synthesis and design tools applicable to sampled-data systems. The reader might therefore wonder what is distinctive about the current book. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are taken. The alternative point of view, adopted in this book, is to formulate the analysis in such a way that the user is constantly reminded of the presence of the underlying continuous-time signals. We thus give emphasis to two aspects of sampled-data analysis: Firstly, we formulate the various algorithms so that the appropriate continuous-time case is approached as the sampling rate increases. Secondly we place emphasis on the continuous-time output response rather than simply focusing on the sampled response.Fourier Analysis
Sampling and Reconstruction
Analysis of Discrete-Time Systems
Discrete-Time Models of Continuous Deterministic Systems
Optimal Linear Estimation with Finite Impulse Response Filters
Optimal Linear Estimation with State-Space Filters
Periodic and Multirate Filtering
Discrete-Time Control
Sampled Data Control
Generalized Sample-Hold Functions
Periodic Control of Linear Time-Invariant Systems
Multirate Control
Optimal Control of Periodic Systems