Nonlinear filter

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Related lectures (32)

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Image Processing: Smoothing and Filtering

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Linear Estimation and Prediction

Explores linear estimation, Wiener filters, and optimal prediction in signal processing.

Linear Prediction and Estimation

Explores linear prediction, optimal filters, random signals, stationarity, autocorrelation, power spectral density, and Fourier transform in signal processing.

Adaptive Filtering: LMS Algorithm

Covers adaptive filtering using the LMS algorithm for immobile recording scenarios, focusing on practical implementation in MATLAB.

Signal Processing: Linear Filters and Estimation

Covers applying concepts to build linear filters and perform estimation.

Digital Filters: Implementation and Analysis

Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Image Processing I: Filter Design and Boundary Conditions

Explores filter design, boundary conditions, Fourier-domain filtering, and useful smoothing filters for image processing.

Linear Phase Filters: Step Response and Characteristics

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

Linear time-invariant filters

Explains the concept of linear time-invariant filters in signal processing and the requirements for their operation.