Results 11 to 20 of about 23,892 (198)
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.
Aldroubi, Akram +2 more
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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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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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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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Lossless Compression of Intracortical Extracellular Neural Recordings using Non-Adaptive Huffman Encoding [PDF]
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020 This paper investigates the effectiveness of four Huffman-based compression schemes for different intracortical neural signals and sample resolutions. The motivation is to find effective lossless, low-complexity data compression schemes for Wireless Intracortical Brain-Machine Interfaces (WI-BMI). The considered schemes include pre-trained Lone 1st and
Savolainen, OW, Constandinou, TG
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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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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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On optimally partitioning a text to improve its compression [PDF]
, 2009 In this paper we investigate the problem of partitioning an input string T in such a way that compressing individually its parts via a base-compressor C gets a compressed output that is shorter than applying C over the entire T at once.
Ferragina, Paolo +2 more
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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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