Lectures related to Wiener Filtering: Theory and Applications

Fundamental Notions - I

Explores fundamental notions in image and video processing, covering applications and key concepts like color quantization and 2D Fourier Transform properties.

Signal Processing: Sampling and Reconstruction

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

DSP and Signal Processing Calculations

Explores optimizing real-time signal calculations using DSP extensions in ARM processors.

Signal Representations

Covers the properties of signal/data representations using Fourier transformations and matrices.

Properties of Fourier Transform

Explores the properties and applications of the Fourier transform in signal processing and mathematics.

Neural Signals and Signal Processing: Methods and Designs

Explores neural signal processing methods, fMRI designs, GLM analysis, and quality control.

IQ Demodulation: FPGA and MATLAB

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

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Fourier Transform: Basics and Applications

Covers the basics of the Fourier transform and its applications in signal processing.

Interpreting a DFT plot

Explains the interpretation of a DFT plot and energy distribution in signals.