Lectures related to Discrete Time Channels

Volume Calculation in Decoding Regions

Covers volume calculation in decoding regions for signal transmission trade-offs.

Neural Signals and Signal Processing

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

Passband Communications Design

Covers the design of passband communications and the use of recipies and complex-valued signals.

Neural Signals and Signal Processing

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

Complex Envelope: Signal Processing

Delves into the computation of bandpass and analytic signals using complex envelopes.

Optimization of Neuroprosthetic Systems

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

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

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.

Neural Signals and Signal Processing: Hemodynamic Imaging

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

Sphere Packing

Covers the concept of sphere packing and its significance in time shifts and Nyquist criterion.

Convolutional Codes: Decoding and Eye Diagrams

Covers the decoding process of convolutional codes and the analysis of eye diagrams.

Principles of Digital Communication

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

IQ Demodulation: FPGA and MATLAB

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

Discrete Fourier Transform: Unlimited Duration Signals

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Stationary Waveform Analysis

Covers the analysis of stationary waveforms and the importance of achieving stationarity in signal processing.

Neural Signals and Signal Processing

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

Convolutional Coder Introduction

Covers the introduction of Convolutional Coder, explaining its structure and operation.

EMG: figures propagation

Covers the process of EMG data analysis and signal inversion for further analysis.

Neural Signals and Signal Processing

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.