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- W3021276720 abstract "Publisher SummaryThis chapter discusses the basics of sampling theory. It explains about the sampling theory with an example of a typical real-time sampled data system. It states that there are two key concepts involved in the actual analog-to-digital and digital-to-analog conversion process, which are discrete time sampling and finite amplitude resolution because of quantization, and understanding of these concepts is vital to data converter applications. The chapter further discusses about the need for a sample-and-hold amplifier (SHA) function in digital converters with an example. It further differentiates between SHA and track-and-hold amplifier (T/H or THA). The chapter states that Nyquist criteria require the sampling frequency to be at least twice the highest frequency contained in the signal, or information about the signal will be lost. If the sampling frequency is less than twice the maximum analog signal frequency, a phenomenon known as aliasing will occur. It also highlights about baseband antialiasing filters. The chapter further explains about undersampling, which includes harmonic sampling, bandpass sampling, IF (intermediate frequency) sampling, and direct IF-to-digital conversion, and also details about antialiasing filters in undersampling applications." @default.
- W3021276720 created "2020-05-13" @default.
- W3021276720 creator A5074757995 @default.
- W3021276720 date "2005-01-01" @default.
- W3021276720 modified "2023-10-18" @default.
- W3021276720 title "Sampling Thoery" @default.
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- W3021276720 doi "https://doi.org/10.1016/b978-075067841-4/50011-7" @default.
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