Lectures related to Downsampling (signal processing)

Covers the compilation process of Scala Lens and the use of iterable collections for padding results.

Signals from the Brain: Dynamics and Networks

Delves into analyzing brain dynamics and networks using advanced neuroimaging techniques and signal processing methods.

Neural Signals and Signal Processing: Methods and Designs

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

Explores Graph Signal Processing applied to brain networks, emphasizing the relationship between brain function and structure using methods like Graph Fourier Transform and Structural-Decoupling Index.

Discrete Signals and Systems II: Fourier Transform Properties

Explores the properties of the discrete Fourier transform and its applications in signal processing, emphasizing DFT reversal and DTFT resampling.

Practical Engineering 1: Signal Processing

Explores advanced software engineering topics and signal processing using lazy lists to build a sound synthesizer from scratch.