Lectures related to Digital Signal Processing Fundamentals: Interactive Textbook

Practical Engineering: Signal Processing and Sound Synthesis

Covers advanced software engineering topics in signal processing and sound synthesis using Scala.

Karplus-Strong Algorithm: Simulating Metallic Strings

Explains the Karplus-Strong algorithm for simulating metallic string sounds using random noise and feedback loops.

Neural Signals and Signal Processing

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

Impact of Sinusoidal Sum Terms

Covers the impact of a partial number of terms in a sum of sinusoids and executing examples with verified inputs.

The Karplus-Strong Algorithm

Introduces the Karplus-Strong algorithm for synthesizing plucked-string sounds using digital signal processing.

Fourier Series: Convergence and Dirichlet Theorem

Covers Fourier series convergence, Dirichlet theorem, and applications in signal processing.

Neural Signals and Signal Processing

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

The Frequency Domain

Explores expressing signals in sinusoidal components and decomposing signals into different frequencies in the frequency domain.

Signal Processing: Basic Definitions and Properties

Explores basic signal definitions, properties, and digital signal processing techniques.

Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

Signal Representation

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Psychoacoustics and Signal Processing

Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.

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: Methods and Designs

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

Neural Signals and Signal Processing

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

Estimation and Linear Prediction - Part 2

Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.

Signal Processing: Sampling and Reconstruction

Covers the concepts of quantization, coding, and sampling in signal processing.

LabVIEW: Display and DAQ

Covers LabVIEW programming for data acquisition and display, including LabVIEW sound and visualization.

Neural Signals and Signal Processing

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.