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Lecture
Statistical Signal Processing
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Related lectures (29)
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Spectral Estimation Methods
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
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 Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Matlab: Interactive Mode and Project Steps
Introduces Matlab basics, error handling, and billiards project concepts.
Matlab: 3D Surface Plotting
Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Neurophysiological Data Analysis
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Parametric Signal Models: Matlab Practice
Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.
Macrofinance Models Analysis
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
Tissue-level Wave Patterns: Cellular Oscillators and Genetic Waves
Explores tissue-level wave patterns, cellular oscillators, genetic waves, and gene expression patterns in cellular differentiation.
