Lectures related to Noise: Signal Processing

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

Covers the concept of time, discrete time practicality, sampling theorem, digital storage, transmission of signals, and key ideas of digital signal processing.

Signal Processing: Basic Definitions and Signal Typology

Covers the basic definitions and typology of signals, including analog and digital signals.

Signal Processing: Filtering and Noise Reduction

Explores signal-to-noise ratio, filtering noisy signals, and power spectral density for noise reduction in signal processing.

Quantum Signal Processing

Covers IQ demodulation of noisy quantum signals using FPGA and MATLAB.

An Introduction to Signal Processing

Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.

Signals & Systems I: Micro-Systems and Communication Systems

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

Signals & Systems I: Introduction and Signal Processing

Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.

Neural Signals and Signal Processing

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

Signal Processing: Sampling and Reconstruction

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

Photoplethysmography: Signal Processing

Explores photoplethysmography signal processing, noise reduction, adaptive filtering, wearable devices, and pulse arrival time measurement.

Signal Representation

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

Signal Processing: Basic Definitions and Properties

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

Wiener Filter for Discrete-Time Stochastic Processes

Covers the theory and application of the Wiener filter for discrete-time stochastic processes.

Neural Signals and Signal Processing

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

Principles of Digital Communication

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Neural Signals and Signal Processing: Hemodynamic Imaging

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

Medical Front End Standards

Explores differences in front ends for medical devices and signal processing challenges.

Neural Signals and Signal Processing

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

Phase-Locked Loops: Basics and Applications

Explores Phase-Locked Loops, Lock-in Amplifiers, and Oscilloscopes in electrical metrology.