Results 11 to 20 of about 1,455 (168)
The Improvised GZIP, A Technique for Real Time Lossless Data Compression [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Whenever it comes to data processing, the user always faces two major constraints. One is storage capacity and second is bandwidth. These two resources must be efficiently utilized by compressing the data.
Ahmad Shah, Muhammad Sethi
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Sequential Adaptive Compressed Sampling via Huffman Codes [PDF]
Sampling Theory in Signal and Image Processing, 2011 There are two main approaches in compressed sensing: the geometric approach and the combinatorial approach. In this paper we introduce an information theoretic approach and use results from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a sparse signal.
Akram Aldroubi +2 more
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Exploring Text Data Compression: A Comparative Study of Adaptive Huffman and LZW Approaches [PDF]
BIO Web of ConferencesData compression is a critical procedure in computer science that aims to minimize the size of data files while maintaining their vital information.
Kadhim Doaa J. +2 more
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Windowed Huffman coding algorithm with size adaptation [PDF]
IEE Proceedings I Communications, Speech and Vision, 1993 The windowed Huffman algorithm is introduced. The Huffman code tree is constructed based on the probabilities of symbols' occurrences within finite history in this windowed algorithm. A window buffer is used to store the most recently processed symbols.
Huang, H.C, Wu, Ja-Ling
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Adaptive Spatial Modulation Using Huffman Coding
2016 IEEE Global Communications Conference (GLOBECOM), 2016 Antenna switch enables multiple antennas to share a common RF chain, thus an additional spatial dimension, i.e., antenna index, can be utilized in the design of single RF chain MIMO and information can be conveyed via both signal space and spatial dimension.
Zhang, W, Wang, Wei
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Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding
CoRR, 2021 When detecting anomalies in audio, it can often be necessary to consider concept drift: the distribution of the data may drift over time because of dynamically changing environments, and anomalies may become normal as time elapses. We propose to use adaptive Huffman coding for anomaly detection in audio with concept drift.
Pratibha Kumari 0001, Mukesh Saini
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Mathematics, 2021 Reversible data hiding in encrypted images (RDHEI) is a technology which embeds secret data into encrypted images in a reversible way. In this paper, we proposed a novel high-capacity RDHEI method which is based on the compression of prediction errors ...
Bin Huang, Chun Wan, Kaimeng Chen
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Investigation of Energy Cost of Data Compression Algorithms in WSN for IoT Applications
Sensors, 2022 The exponential growth in remote sensing, coupled with advancements in integrated circuits (IC) design and fabrication technology for communication, has prompted the progress of Wireless Sensor Networks (WSN).
Mukesh Mishra +2 more
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Improved Adaptive Huffman Compression Algorithm
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2011 In information age, sending the data from one end to another endneed lot of space as well as time. Data compression is atechnique to compress the information source (e.g. a data file, aspeech signal, an image, or a video signal) in possible fewnumbers of bits.
Satpreet Singh, Harmandeep Singh
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Adaptive Polynomial Fitting for Image Compression Based on Variance of Block Pixels [PDF]
Engineering and Technology Journal, 2015 This paper presents a proposed method to compress images using two polynomials with different models based on the value of block pixels variance. These two polynomials are chosen from different set of models, which give low number of coefficients and ...
Riyadh Jabbar S. Al-Bahadili
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