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- W4367276809 abstract "While signals and systems homework problems often focus on giving students practice in procedures and computations, some of the problems I most enjoy are those that ask students to step away from familiar procedural approaches and think outside the box. In this talk, I will describe three problems that encourage conceptual thinking about sampling and filtering. In the first, which focuses purely on sampling, students are asked to determine how various operations on a generic signal change its Nyquist sampling rate. The second problem asks students to consider how aliasing may be allowable (and even desirable) when sampling will be followed by discrete-time filtering. The final problem asks students to characterize a sampler followed by a discrete-time system based on observation of the input and the output, which requires students to tease apart the effects resulting from sampling and those resulting from filtering. These three problems are drawn from signals and systems material I have encountered over many years of teaching and through a variety of sources. I appreciate the way they encourage students to think of sampling and filtering as tools that can be used creatively rather than as a prescribed series of steps." @default.
- W4367276809 created "2023-04-29" @default.
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- W4367276809 date "2023-03-01" @default.
- W4367276809 modified "2023-09-30" @default.
- W4367276809 title "Building an understanding of sampling and filtering" @default.
- W4367276809 doi "https://doi.org/10.1121/10.0018691" @default.
- W4367276809 hasPublicationYear "2023" @default.
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