Filter (signal processing)

Related lectures (32)

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Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

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

Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

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

Covers different types of continuous-time filters, focusing on MOSFET-C filters and linearization techniques.

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Explores linear phase filters, rise time, Gaussian filters, and rational transfer functions.

Explores spectral analysis, aliasing, and linear filtering in time series data.

Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.