Transcription of Sampling and Quantization - Princeton University
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Sampling and Quantization - Princeton University
chapter 5 Sampling and QuantizationOften the domain and the range of an original signalx(t) are modeled as contin-uous. That is, the time (or spatial) coordinatetis allowed to take on arbitraryreal values (perhaps over some interval) and the valuex(t) of the signal itself isallowed to take on arbitrary real values (again perhaps within some interval).As mentioned previously in chapter XX, such signals are continuous model is convenient for some situations, but in other situationsit is more convenient to work withdigitalsignals , signals which have adiscrete (often finite) domain and range. The process of digitizing the domainis calledsamplingand the process of digitizing the range is devices we encounter deal with both analog and digital signals. Digi-tal signals are particularly robust to noise, and extremely efficient and versatilemeans for processing digital signals have been developed. On the other hand,in certain situations analog signals are sometimes more appropriate or evennecessary.
Chapter 5 Sampling and Quantization Often the domain and the range of an original signal x(t) are modeled as contin- uous. That is, the time (or spatial) coordinate t is allowed to take on arbitrary real values (perhaps over some interval) and the value x(t) of the signal itself is allowed to take on arbitrary real values (again perhaps within some interval).
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