Physics-Informed Imaging Systems

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

CCD Cameras: Signal-to-Noise Analysis

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

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

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

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Physical Noise Analysis: High-Speed Photodetectors

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

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.

Deep Learning: Convolutional Networks

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

Noise in Electronics: Fundamentals and Applications

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

Machine Learning for Feature Extraction

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.