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 ...
This project is an exploration of using AI coding techniques, to implement arithmetic coding compression specifically for Protocol Buffers, and specialize the field models for Meshtastic packets. This ...
Abstract: Distributed arithmetic coding (DAC) has been shown to be effective for Slepian- Wolf coding, especially for short data blocks. In this paper, we propose to use the DAC to compress ...
ABSTRACT: This paper presents a new method of lossless image compression. An image is characterized by homogeneous parts. The bit planes, which are of high weight are characterized by sequences of 0 ...
In MPEG Layer III coding the compression gain is mainly achieved through the unequal distribution of energy in the different frequency bands, the use of the psychoacoustic model, and Huffman coding.
A statistical data compression method that converts strings of data into single floating point numbers between 0 and 1. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires ...
Abstract: The increasing demand for high-quality audio content in applications such as media streaming and immersive audio services has driven the development of efficient audio coding techniques.
Distributed video coding (DVC) represents a paradigm shift in video compression, wherein the computational burden is transferred from the encoder to the decoder. This approach exploits the inherent ...
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