Titlebook: Digital Filters and Signal Processing; With MATLAB® Exercis Leland B. Jackson Book 1996Latest edition Springer Science+Business Media New Y

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https://doi.org/10.1007/978-981-10-7808-8eory of approximation, where upper and lower constraints are placed on the deviation of |.)| from the ideal response. Another class of design methods is based on the statistical modeling of spectra; and in these methods, the least-squares error (LSE) criterion is employed. These methods are especial

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https://doi.org/10.1007/978-981-10-7808-8e but not in amplitude. Such discrete-time systems can be realized by, for example, switched-ca-pacitor circuits where the amplitudes are represented by voltage or charge and are thus continuously variable. However, the vast majority of discrete-time systems are realized by digital computers or hard

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The , Transform, and output of a discrete-time system involves multiplication of the appropriate . transforms, rather than convolution as for the signals themselves. Poles and zeros can be defined from the . transform and have the same useful role and intuitive appeal as for continuous-time systems. And finally, th

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Input/Output Relationships,e impulse response, the system function, the frequency response, difference equations, and state variables. Each has its own particular advantage in certain derivations and calculations. We have previously introduced and used the impulse response in chapter 2; in this chapter we will define and stud

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