Signal Processing: Basic Definitions and Signal Typology

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Page 3 of 3

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.

Signal Processing: Sampling and Reconstruction

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

Estimation and Linear Prediction - Part 2

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

Discrete Fourier Transform: Unlimited Duration Signals

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

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

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

IQ Demodulation: FPGA and MATLAB

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

Fourier Transform: Concepts and Applications

Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.