Titlebook: Of Poles and Zeros; Fundamentals of Digi Frank Scherbaum Textbook 2001Latest edition Springer Science+Business Media Dordrecht 2001 APPROAC

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The sampling process,res of sampling and analog to digital conversion. We will now consider some of the characteristic properties of these processes. We will simulate the sampling of analog data and its reconstruction from sampled values. We will find that an analog signal can only be reconstructed from its sampled valu

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From infinitely continuous to finite discrete,.19. On the other hand, when we used DST to demonstrate these properties we were, of course, working with sequences of numbers. This was acceptable in the context of the examples we used. In a general context, however, we must be well aware of several important differences between discrete and conti

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The digital anti-alias filter,lters because most of the filtering is performed in the digital domain (cf. Fig. 6.19). The quantization noise level of such systems decreases within the passband of interest with the ratio of the original Nyquist frequency to the final Nyquist frequency (oversampling ratio). On the other hand, it i

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Inverse and simulation filtering of digital seismograms,signals. We have learned to model the individual components (seismometer, ADC, etc.) using the concepts of continuous and discrete linear time invariant systems (transfer function, frequency response function, impulse response function) and how their interactions can be described by convolution in b