Variable-to-Variable Huffman Coding: Optimal and Greedy Approaches [PDF]
Entropy, 2022 In this paper, we address the problem of m-gram entropy variable-to-variable coding, extending the classical Huffman algorithm to the case of coding m-element (i.e., m-grams) sequences of symbols taken from the stream of input data for m>1.
Kun Tu, Dariusz Puchala
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A quantum analog of Huffman coding [PDF]
IEEE Transactions on Information Theory, 1998 We analyze a generalization of Huffman coding to the quantum case. In particular, we notice various difficulties in using instantaneous codes for quantum communication.
Braunstein, Samuel L. +3 more
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Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques [PDF]
Journal of NeuroEngineering and Rehabilitation, 2023 Background Presentation of visual stimuli can induce changes in EEG signals that are typically detectable by averaging together data from multiple trials for individual participant analysis as well as for groups or conditions analysis of multiple ...
Hafeez Ullah Amin +3 more
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Lossy Infrared Image Compression Based on Wavelet Coefficient Probability Modeling and Run-Length-Enhanced Huffman Coding [PDF]
SensorsInfrared line-scanning images have high redundancy and large file sizes. In JPEG2000 compression, the MQ arithmetic encoder’s complexity slows down processing. Huffman coding can achieve O(1) complexity based on a code table, but its integer-bit encoding
Yaohua Zhu +5 more
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An effective lossless compression method for attitude data with implementation on FPGA [PDF]
Scientific ReportsThe attitude angles of the drilling tool serve as crucial information for transmitting Measurement While Drilling (MWD) data, enabling the optimization of drilling performance and ensuring tool safety.
Fangxing Lyu +4 more
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A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder [PDF]
SensorsThe compression method for wellbore trajectory data is crucial for monitoring wellbore stability. However, classical methods like methods based on Huffman coding, compressed sensing, and Differential Pulse Code Modulation (DPCM) suffer from low real-time
Shan Song +3 more
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IET Image Processing, 2021 Entropy coding is the essential block of transform coders that losslessly converts the quantized transform coefficients into the bit‐stream suitable for transmission or storage.
Vikrant Singh Thakur +2 more
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A lossless compression method for logging data while drilling
Systems Science & Control Engineering, 2021 Mud pulse transmission technology is widely used in logging while drilling (LWD), while its low data transmission efficiency has restricted the development of LWD technology for a long time. In order to improve the equivalent data transmission efficiency
Shan Song +5 more
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On the Randomness of Compressed Data
Information, 2020 It seems reasonable to expect from a good compression method that its output should not be further compressible, because it should behave essentially like random data.
Shmuel T. Klein, Dana Shapira
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Implementation of Clock Gating for Power Optimizing in Synchronous Design
Tikrit Journal of Engineering Sciences, 2018 Huffman coding is very important technique in information theory. Compression technique is the technology for reducing the amount of data used to denote any content without decreasing the quality.
Hussein Shakor Mogheer +1 more
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