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Related lectures (29)
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Sustainable Development: Social Progress and Collective Action
Examines sustainable development, emphasizing the interplay between individual and collective actions in achieving social progress.
Neural Signals and Signal Processing
Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.
Neural Signals and Signal Processing: Modeling and Simulation
Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.
Introduction to Rhino Surfaces and Meshes
Introduces working with surfaces, polysurfaces, and solids in Rhino, covering rendering, material editing, and mesh creation.
DNA Nanotechnology: Origami and Nanophotonics
Explores DNA origami nanotools for nanophotonics, focusing on light control at the nanoscale and the challenges in technological breakthroughs.
Statistical Signal Processing
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Enhanced Sampling Techniques: Monte Carlo & Wang-Landau
Covers enhanced sampling techniques, challenges in predicting properties, potential energy landscape, Monte Carlo approach, and lumping algorithm.
Untitled
Causal Systems & Transforms: Delay Operator Interpretation
Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.
Gaussian Mixture Models: Data Classification
Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.