Lectures related to Physics-Informed Imaging Systems

Supervised Learning Overview

Covers CNNs, RNNs, SVMs, and supervised learning methods, emphasizing the importance of tuning regularization and making informed decisions in machine learning.

Environmental Legislation and Construction Law

Explores environmental legislation, pollution control, noise regulations, and construction impact on the environment.

Perception: Data-Driven Approaches

Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.

From diffusive noise to escape noise MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Compares diffusive noise and escape noise in neuronal dynamics, focusing on simulation and calculation complexity.

RIN, Shot Noise, Circuit Noise - Examples

Explores laser operation basics, shot noise, and photodetectors' noise characteristics, emphasizing the importance of signal-to-noise ratio in signal detection.

Overfitting: Symptoms and Characteristics

Explores overfitting in polynomial regression, emphasizing the importance of generalization in machine learning and statistics.

Physics-Informed Imaging: Lensless Cameras & Low-Light Videography Log in to Mediaspace to watch this video

Explores physics-informed imaging for lensless cameras and low-light videography, including noise model development and denoising techniques.

Noise in CCD Cameras: Reset and Readout Mechanisms Log in to Mediaspace to watch this video

Covers noise sources in CCD cameras, focusing on reset noise, readout noise, and methods for noise suppression like correlated double sampling.

Electrical Metrology Log in to Mediaspace to watch this video

Explores electrical metrology, covering random variables, noise sources, and their impact on electronic devices.

Supervised Learning Essentials Log in to Mediaspace to watch this video

Introduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.

Electrical Metrology Log in to Mediaspace to watch this video

Explores different types of noise in electrical systems and their impact on electronic devices.

Noise and Measurements Log in to Mediaspace to watch this video

Explores electronic, thermomechanical, and amplifier noise, calibration of amplitude, frequency tracking, and system limits.

Noise Reduction Techniques in Analog Circuits Log in to Mediaspace to watch this video

Explores noise and offset reduction techniques in analog circuits, focusing on Autozero and Chopper Stabilization.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.

Image Processing: Enhancement and Analysis Log in to Mediaspace to watch this video

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Image Processing Fundamentals Log in to Mediaspace to watch this video

Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.

CCD Cameras: Signal-to-Noise Analysis Log in to Mediaspace to watch this video

Covers the signal-to-noise ratio in CCD cameras and techniques to optimize image capture quality.

Physical Noise Analysis: High-Speed Photodetectors Log in to Mediaspace to watch this video

Covers the physical noise analysis in high-speed photodetectors, focusing on signal-to-noise ratios and various noise sources affecting performance.

Deep Learning: Convolutional Networks Log in to Mediaspace to watch this video

Explores convolutional neural networks, backpropagation, and stochastic gradient descent in deep learning.

Noise in Electronics: Fundamentals and Applications Log in to Mediaspace to watch this video

Explores noise in electronics, covering average power, signal-to-noise ratio, deterministic and random signals, and noise amplification.