Lecture
Harmonic Signals and Spectrum Estimation
Related lectures (545)
Neurophysiological Data Analysis
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Gaussian Mixture Models: Data Classification
Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.
Matlab: Interactive Mode and Project Steps
Introduces Matlab basics, error handling, and billiards project concepts.
Programming for Engineers
Covers programming basics for engineers, emphasizing MATLAB, C, and LabVIEW tools for project development.
Matlab Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Computational Geomechanics: Reverse Teaching Approach
Covers computational geomechanics and the Reverse Teaching approach, including live-streamed lectures and exercise sessions.
Macrofinance Models Analysis
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
Introduction to Matlab Programming
Introduces Matlab programming, covering basic operations, matrix manipulations, and debugging.
K-Means Clustering: Image Compression
Covers K-means algorithm for image compression and PCA for dimensionality reduction.