Abstract: We study the problem of compressing a block of symbols (a block quantum state) emitted by a memoryless quantum Bernoulli source. We present a simple-to-implement quantum algorithm for ...

Abstract: Image Compression is a technique, which reduces the size of an image without much loss of information. In this paper we have put forward a new method for image compression that includes ...

Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. We address this problem by pursuing the hypothesis that there is important cognitive information ...

ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...

Scattering theory is the basis of all linear optical and photonic devices, whose spectral response underpins wide-ranging applications from sensing to energy conversion. Unlike the Shannon theory for ...

The need for storing data in compressed form is becoming more and more important due to the ever-growing rate of data produced on a daily basis. To keep up with this data deluge, data compression is a ...

The apparent stochastic nature of neuronal activity significantly affects the reliability of neuronal coding. To quantify the encountered fluctuations, both in neural data and simulations, the notions ...

The ventral visual stream (VVS) is a fundamental pathway involved in visual object identification and recognition. In this work, we present a hypothesis of a sequence of computations performed by the ...

Encoding the information before transmission is necessary to ensure data security and efficient delivery of the information. The MATLAB program presented here encodes and decodes the information and ...

The Basic Compression Library is a library of well known compression algorithms implemented in portable ANSI C code. Currently, RLE (Run Length Encoding), Huffman, Rice, Lempel-Ziv (LZ77) and ...