This chapter discusses the time domain sampling process and the quantization process. It presents the sampling theorem and alleviates the signal reconstruction problem by means of interpolation and/or approximation. Other problems that affect the signal reconstruction accuracy, including quantization, are discussed. The discrete Fourier transform (DFT) of sampled signal sequence is introduced to familiarize the readers with the mathematical notations used in this book. In practice, the signal reconstruction problem is very often reformulated as a function approximation problem that extracts a function representation from the given signal samples. The function approximation can be roughly classified into two categories: interpolation and fitting. One practical reconstruction method that has been applied in many applications is the zero‐order hold (ZOH) method. The objective of digital interpolation is to obtain a new sequence that is a close approximation to the sampled sequence obtained from sampling the associated analog signal with high sampling rate.
Signal Sampling
2019-02-19
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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