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
doaj +4 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Cryptographic Algorithms with Data Shorter than the Encryption Key, Based on LZW and Huffman Coding [PDF]
Sensors, 2023 Leszek Rutkowski +2 more
exaly +2 more sources
Applied Sciences, 2019 The transient impact components in vibration signal, which are the major information for bearing fault severity recognition, are often interfered with by ambient noise.
Jiancheng Yin +5 more
doaj +3 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
COLOR IMAGE COMPRESSION BASED ON ABSOLUTE MOMENT BLOCK TRUNCATION CODING USING DELTA ENCODING AND HUFFMAN CODING [PDF]
مجلة بحوث التربية النوعية, 2014 A simple and easy to implement technique for improving absolute moment block truncation coding (AMBTC) is proposed. AMBTC method produce a fixed length binary representation of each block according to the block size of the image.
N.A.A. Mosa
doaj +1 more source