Results 11 to 20 of about 31,581 (252)
A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder [PDF]
The 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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Bidirectional Huffman Coding [PDF]
Aviezri S. Fraenkel
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Entropy coding is the essential block of transform coders that losslessly converts the quantized transform coefficients into the bitāstream suitable for transmission or storage.
Vikrant Singh Thakur +2 more
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A lossless compression method for logging data while drilling
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
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
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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Lossless Text Image Compression using Two Dimensional Run Length Encoding
Text images are used in many types of conventional data communication where texts are not directly represented by digital character such as ASCII but represented by an image, for instance facsimile file or scanned documents.
Hilal H Nuha
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Lossless Compression Algorithm Based on Hybrid Coding of Adaptive Huffman and Golomb-Rice for WSN [PDF]
Aiming at the problem that traditional Wireless Sensor Network(WSN) data compression algorithms cannot take both compression efficiency and data loss into account,a fast and efficient Lossless Adaptive Compression(LAC) algorithm based on adaptive Huffman
XIE Ruiyun,HAI Benzhai
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdul Mannan, M., Kaykobad, M.
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In the proposed Huffman LEACH model, energy consumption increases exponentially with distance and there are no maximum limits. The transmit power level of a sensor node can only be adjusted to discrete values that may result in one transmit power level for various distances.
Sunil S. Harakannanavar +5 more
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