Signals & Systems II: Filter Implementations

Related lectures (32)

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Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.

Explores analog filters, rational transfer functions, and stability analysis of causal systems.

Covers the frequency response of linear systems and filter design principles.

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.

Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Explores signal analysis, FFT, filters, and power spectral density in signal processing.