Results 1 to 10 of about 24,372,621 (308)
This correspondence presents entropy analyses for dithered and undithered quantized sources. Two methods are discussed that reduce the increase in entropy caused by the dither. The first method supplies the dither to the lossless encoding-decoding scheme. It is argued that this increases the complexity of the encoding-decoding scheme.
Schobben, D.W.E. +2 more
openaire +1 more source
Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems
Attention has been devoted to multi-input multi-output (MIMO) synthetic aperture radar (SAR) systems in recent years. The applications of MIMO-SAR systems which involve high-resolution wide-swath remote sensing, three-dimensional imaging, and multi ...
Jie Wang, Longyong Chen, Xingdong Liang
doaj +1 more source
Research on the effectiveness of data compression methods in relational and NoSQL DBMS
Objective. The research presented in the paper is aimed at studying the effectiveness of modern DBMSs.Method. Along with traditional relational solutions, NoSQL-based DBMSs are becoming increasingly popular.
V. A. Egunov +3 more
doaj +1 more source
Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors
Wireless sensor networks (WSNs) are structured for monitoring an area with distributed sensors and built-in batteries. However, most of their battery energy is consumed during the data transmission process.
Boopathi Chettiagounder Sengodan +7 more
doaj +1 more source
In this paper, we apply an information-theoretic method proposed by Ryabko and Savina (therefore called the RS-method), based on the use of data compression, to recognize the individual author’s style of a writer across four languages from different ...
Boris Ryabko +3 more
doaj +1 more source
Efficient sequencing data compression and FPGA acceleration based on a two-step framework. [PDF]
Chen S +10 more
europepmc +1 more source
Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System. [PDF]
Piątkowski D, Puślecki T, Walkowiak K.
europepmc +1 more source
Lossless Data Compression for Time-Series Sensor Data Based on Dynamic Bit Packing. [PDF]
Hwang SH, Kim KM, Kim S, Kwak JW.
europepmc +1 more source
Adaptive µ-law Gradient Quantization for Training MLPs and CNNs
This paper presents an adaptive µ-quasilogarithmic gradient quantization framework aimed at reducing memory and computational demands during deep neural network training.
DUBLJANIN, M. +3 more
doaj +1 more source
Precision requirements and data compression in CryoEM/CryoET. [PDF]
Fluty AC, Ludtke SJ.
europepmc +1 more source

