s2005b - Filter Design for Sample Rate M Conversion L...

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M L Filter Design for Sample Rate Conversion Overview An area where discrete-time signal processing has enjoyed widespread use is the fields of sampling rate conversion. In this project, we are using this application to motivate filter design. This project requires you to implement several discrete-time systems for sampling rate conversion. Specifically, this part focuses on experimentation with various filter classes within the context of antialiasing filter design. Comments on Filter Design Filter design and implementation are important aspects of signal processing. Historically, DSP courses have put considerable emphasis on design techniques for both IIR and FIR filters, as discussed in Chapter 7 of the course text. A variety of filter design algorithms are now implemented in common software packages such as M ATLAB . This makes it unnecessary for most practitioners to learn the details of the design algorithms; however, ceding the design function to a software package makes it more important to understand the properties of different types of optimal filters, the meanings of the design parameters, and some of the trade-offs between filter classes. In the context of IIR filter design, we suggest that you read Sections 7.0 and 7.1 including Example 7.1.
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s2005b - Filter Design for Sample Rate M Conversion L...

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