We also design a “rounding” algorithm based on the idea of effective resistance sampling to turn the continuous fractional solution into a feasible bit allocation strategy with integer number of bits ...

This book offers an introduction to digital signal processing (DSP) with an emphasis on audio signals and computer music. It covers the mathematical foundations of DSP, important DSP theories ...

The graph below shows the total number of publications each year in Color Quantization Algorithms in Image Processing. References [1] Forty years of color quantization: a modern, algorithmic survey .

Quantum computers can solve extraordinarily complex problems, unlocking new possibilities in fields such as drug development, ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...

Clustering / Subspace Clustering Algorithms on MATLAB - xuyxu/Clustering. K-means; K-means++. Generally speaking, this algorithm is similar to K-means;; Unlike classic K-means randomly choosing ...

Gliding robotic fish, a hybrid of underwater gliders and robotic fish, are energy-efficient and highly maneuverable, and hold strong promise for long-duration sampling of underwater environments. In ...

SOPHGO-mq is an open-source model quantization toolkit forked form MQBench. SOPHGO-mq has made some customized modifications and added some features based on MQBench. Let's take the PTQ quantization ...