Results 41 to 50 of about 84,378 (284)
On Lossless Compression of 1-bit Audio Signals [PDF]
, 2002 In this paper we consider the problem of lossless compression of 1-bit audio signals. We study the properties of some existing proposed solutions. We also discuss possible improvements.
Bittner, Franziska +7 more
core
Codage des signaux par EMD [PDF]
, 2012 In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
BOUDRAA, Abdel-Ouahab, KHALDI, Kais
core +4 more sources
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Audio File Compression Using Counter Propagation Neural Network [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 In this paper audio files are compressed using counter propagation neural network (CPNN) which is one of the fastest neural networks in multi media. The utilized counter propagation neural network was trained on uncompressed sound file to obtain the ...
Saja Mohammed
doaj +1 more source
Wavelet-Domain Information-Hiding Technology with High-Quality Audio Signals on MEMS Sensors
Sensors, 2022 Due to the rapid development of sensor technology and the popularity of the Internet, not only has the amount of digital information transmission skyrocketed, but also its acquisition and dissemination has become easier.
Ming Zhao, Shuo-Tsung Chen, Shu-Yi Tu
doaj +1 more source
Efficient Compression Technique for Sparse Sets
, 2017 Recent technological advancements have led to the generation of huge amounts of data over the web, such as text, image, audio and video. Most of this data is high dimensional and sparse, for e.g., the bag-of-words representation used for representing ...
Kulkarni, Raghav +2 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Codificação perceptiva de áudio por meio de decomposições atômicas em exponenciais complexas
Revista Principia, 2019 The atomic decomposition of signals by algorithm of the class “Matching Pursuit” (MP) has been applied in audio compression. Literature review suggests that, the use of psychoacoustic criteria allows a more compact representation of the signal, without ...
Valmir dos Santos Nogueira Junior +2 more
doaj +1 more source
Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures
Advanced Science, EarlyView.ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong +16 more
wiley +1 more source
Sub–Nyquist Frequency Efficient Audio Compression
Al-Khawarizmi Engineering Journal, 2012 This paper presents the application of a framework of fast and efficient compressive sampling based on the concept of random sampling of sparse Audio signal. It provides four important features. (i) It is universal with a variety of sparse signals.
Ahmed A. Hashim
doaj +2 more sources