Lecture

Adaptive Filtering: LMS Algorithm

Related lectures (31)

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Linear Prediction and Estimation

Explores linear prediction, optimal filters, random signals, stationarity, autocorrelation, power spectral density, and Fourier transform in signal processing.

Neural Signals and Signal Processing

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

How your PC plays discrete-time sounds

Covers digital-to-analog conversion and the role of sound cards in creating audio signals.

Signal Processing Fundamentals

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

FPGA Programming with Speedgoat: Real-Time Signal Processing

Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.

LabVIEW Programming Essentials

Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.

Adaptive Denoising: Echo Cancellation

Explores adaptive denoising techniques, emphasizing echo cancellation and the need for real-time adaptive filters.

Kalman Filter: Introduction

Introduces the Kalman Filter, a method to estimate system state from noisy measurements.

Practical Engineering 1: Signal Processing

Explores advanced software engineering topics and signal processing using lazy lists to build a sound synthesizer from scratch.

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.

The leaky integrator: Denoising and impulse response

Covers the leaky integrator, denoising signals, and its impulse response.

Neural Signals and Signal Processing

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

Adaptive Signal Processing: Filtering & Neural Networks

Explores adaptive signal processing, gradient descent, and the LMS algorithm for efficient filtering and neural network training.

Signal Representation

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

Neural Signals and Signal Processing

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

EMG: figures propagation

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

Signal Processing Fundamentals

Covers the alternate formulation of signal processing and the sufficiency of the Waliland ratio in signal sets.

LabVIEW: Display and DAQ

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