Lectures related to Digital signal processor

Neural Signals and Signal Processing

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

Digital Signal Processors: Architecture and Applications

Covers the architecture and applications of digital signal processors in embedded systems.

DSP and Signal Processing Calculations

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

Neural Signals and Signal Processing

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

GLM and Statistical Testing Illustrated

Explores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.

Introduction to Processors

Covers the fundamentals of processors, from digital logic to program execution, including components like ALU, register file, and control logic.

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

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 Processing: Basic Definitions and Properties

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

Neural Signals and Signal Processing: Methods and Designs

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

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Project-Based Learning in Communications and Robotics

Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.

Estimation and Linear Prediction - Part 2

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

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Digital Signal Processing Fundamentals: Interactive Textbook

Covers digital signal processing fundamentals using Jupyter Notebooks for practical application.

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Voltage Summator: Frequency-Independent Inverter Assembly

Explores the design of a voltage summator with a frequency-independent inverter assembly.

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