This lecture covers the topic of noise in signal processing, including types of noise, its effects on signals, and methods to mitigate noise interference. The instructor discusses techniques such as filtering and noise reduction algorithms.
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Covers the concept of time, discrete time practicality, sampling theorem, digital storage, transmission of signals, and key ideas of digital signal processing.
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