Signal Processing: Linear Filters and Estimation

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Digital Filters: Structure and Implementation

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

Neural Signals and Signal Processing

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

Signal Processing: Image Restoration and Linear Prediction

Explores image restoration and signal prediction using linear filters in signal processing.

Fourier Transform and Convolution Product in Signal Processing

Explores the Fourier transform, convolution product, and their applications in signal processing.

The convolution theorem

Explores the convolution theorem, DTFT reconstruction, frequency response effects, and signal building.

Neural Signals and Signal Processing

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

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

Linear Prediction and Estimation

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

Noise Reduction Techniques

Explores various noise reduction techniques, including impedance matching, temperature reduction, and bandwidth reduction.

Switched-Capacitor Filters: Design and Synthesis

Covers the design and synthesis of switched-capacitor filters focusing on cascade and ladder filter designs.