Frequency Estimation in Deterministic Case (Low Noise)
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Description
This lecture covers numerical experiments for frequency estimation in mainly deterministic signals using Discrete Fourier Transform (DFT). Topics include spectral resolution, damped sinusoid, and signal processing of deterministic signals.
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Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
