Measurement Structures of Image Compressive Sensing for Green Internet of Things (IoT). [PDF]
Sensors (Basel), 2018 Li R, Duan X, Li Y.
europepmc +1 more source
CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks. [PDF]
Sensors (Basel), 2019 Liu J, Chen F, Yan J, Wang D.
europepmc +1 more source
A Modulo-Based Architecture for Analog-to-Digital Conversion. [PDF]
IEEE J Sel Top Signal Process, 2018 Ordentlich O +4 more
europepmc +1 more source
Efficient lossy compression for compressive sensing acquisition of images in compressive sensing imaging systems. [PDF]
Sensors (Basel), 2014 Li X, Lan X, Yang M, Xue J, Zheng N.
europepmc +1 more source
Adaptive-compression based congestion control technique for wireless sensor networks. [PDF]
Sensors (Basel), 2010 Lee JH, Jung IB.
europepmc +1 more source
Unveiling the Future of Human and Machine Coding: A Survey of End-to-End Learned Image Compression. [PDF]
Entropy (Basel)Huang CH, Wu JL.
europepmc +1 more source
Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction. [PDF]
J Digit Imaging, 2016 Song X, Huang Q, Chang S, He J, Wang H.
europepmc +1 more source
Related searches:
Entropy-Coded Adaptive Differential Pulse-Code Modulation (DPCM) for Speech
IEEE Transactions on Communications, 1974A study of combining two ways of reducing the redundancy in the digital representation of speech signals is presented. Differential pulse-code modulation (DPCM) encodes the signal into digital form and reduces the redundancy due to correlation in adjacent sample values of the signal.
Krishnamoorthy Virupaksha +1 more
openaire +3 more sources
A Unified Representation of Differential Pulse-Code Modulation (DPCM) and Transform Coding Systems
IEEE Transactions on Communications, 1974We consider a transform coding system that uses a lower-triangular transformation to uncorrelate the data. Based on this transformation we propose a generalized differential pulse code modulation (DPCM) system and show that at high bit rates it performs almost as well as coding by the method of principal components (Karhunen-Loeve transformation). This
Ali Habibi, Ronald S. Hershel
openaire +3 more sources