This paper describes the first stage of a two stage lossless data compression algorithm. The
first stage consists of a lossless adaptive predictor. The term lossless implies that the original …

With the growing use of large-scale sensor networks, huge volumes of sensor data are
being generated from structural health monitoring systems. Vibration sensor data often …

This paper presents a linear predictor (LP)‐based lossless sensor data compression
algorithm for efficient transmission, storage and retrieval of seismic data. Auto‐Regressive …

Lossless compression of medical images using a proposed differentiation technique is
explored. This scheme is based on computing weighted differences between neighboring …

In this paper, we propose bit-error aware lossless compression algorithms for color image
compression subject to bit-error rate during transmission. Each of our proposed algorithms …

Lossless compression of electroencephalograph (EEG) data is of great interest to the
biomedical research community. Lossless compression through neural network is achieved …

This work presents a method for volumetric seismic data compression by coupling a 3-D
convolution-based autoencoder to a generative adversarial network (GAN). The main …

This paper proposes new coding schemes based on neural networks for the compression of
telemetry data. It is shown that neural network predictors can be used successfully in a two …

Despite rapid progress in improving mass-storage density and digital communication system
performance, compression of hydroacoustic image data is still significant in many …

This paper presents a novel systems approach to compressing sensor network data. Unlike
previous data compression methods, the proposed lossless linear predictor-based sensor …