This lecture covers the basics of signal processing, including concepts such as Fourier Transform, signal representation, and filtering techniques. It also introduces students to the applications of signal processing in various fields.
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Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
