GitHub

PrarthanaSabari/Hybrid-Compression-Using-Arithmetic-Coding-and-Recurrent-Neural-Network

This project presents a hybrid lossless compression system that combines an LSTM-based Recurrent Neural Network (RNN) with Arithmetic Coding. Traditional algorithms like Shannon–Fano use static ...
GitHub

Arithmetic Decoding Specification Document

[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...
Nature

Encoding and decoding in parietal cortex during sensorimotor decision-making

It has been suggested that the lateral intraparietal area (LIP) of macaques plays a fundamental role in sensorimotor decision-making. We examined the neural code in LIP at the level of individual ...
IEEE

Region-Based Retinal Image Compression Using Convolutional Auto-Encoder And Arithmetic Encoding

Abstract: In medical imaging, image compression is used to ease bandwidth and storage requirements. In this paper, we report a Roi based image compression approach for retinal images based on ...
Semiconductor Engineering

Arithmetic Intensity In Decoding: A Hardware-Efficient Perspective (Princeton University)

“LLM decoding is bottlenecked for large batches and long contexts by loading the key-value (KV) cache from high-bandwidth memory, which inflates per-token latency, while the sequential nature of ...
IEEE

Modified Decoding Metric Of Distributed Arithmetic Coding

Abstract: As an alternative implementation of Slepian-Wolf coding, distributed arithmetic coding is very competitive in short and medium block lengths. The existing distributed arithmetic coding ...