Concept

Quantization (image processing)

Related lectures (31)

Covers the quantization of topological operators and Ising models on square lattices.

Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.

Model Compression: Techniques for Efficient NLP Models

Explores model compression techniques in NLP, discussing pruning, quantization, weight factorization, knowledge distillation, and attention mechanisms.

JPEG 2000: Image Compression

Explores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.

Model Compression Techniques: Enhancing Neural Networks

Covers model compression techniques to enhance the efficiency of large language models in production settings.

Image Processing I: Quantization and Histogram Analysis

Explores image quantization, histogram analysis, and the trade-off between spatial and grayscale resolution.

Quantization in Networked Control Systems

Delves into the impact of quantization on networked control systems, exploring stability, performance, and design trade-offs.

Quantization: Basics and Uniform Input

Explores quantization in digital devices, covering scalar and uniform quantization, mean square error, and signal-to-noise ratio.

Jarzynski Equation and Quantum Circuits

Explores the Jarzynski equation and the quantization of electrical circuits in quantum harmonic oscillators.

MP3 Compression

Explores MP3 encoding, emphasizing reducing bits through lossy compression and utilizing psycho-acoustic models for efficient filtering and quantization.

Quantum Optics I: Wigner Function

Covers the concept of the Wigner function in quantum optics.

Quantization in Field Theory

Explores quantization in field theory, emphasizing reflection positivity and its mathematical implications.

Fundamental Notions - I

Explores fundamental notions in image and video processing, covering applications and key concepts like color quantization and 2D Fourier Transform properties.

Distributed Computation: Consensus Algorithms in Networked Control Systems

Explores consensus algorithms in networked control systems, covering topics like Metropolis-Hasting models and distributed computation of Least-Squares regression.

Soft de Sitter Effective Theory

Explores Soft de Sitter Effective Theory, In-In perturbation theory, scalar fields, power counting interactions, and dynamical dimensional regularization.

Parametric Signal Models: Matlab Practice

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Quantum Optics I: Quantized Harmonic Oscillator

Covers the quantization of the harmonic oscillator and its implications on the electromagnetic field, including vacuum energy effects.

Quantum Harmonic Oscillator

Explores the classical dynamics and quantization of a harmonic LC oscillator.

Signal Modulation and Sampling

Covers signal modulation, sampling, and their applications in communication systems.

Quantization and Coding of Digital Signals

Explores quantization and coding of digital signals, discussing uniform quantization, error analysis, and signal-to-quantization noise ratio.