Results 71 to 80 of about 1,429 (153)
New Error Model of Entropy Encoding for Image Compression [PDF]
, 2015 Entropy coding provides the lossless compression of data symbols and is a critical component in signal compression algorithm. In our case we have designed a new model which reduces the Interpixel redundancy and have better results as compared to other ...
Rajesh Kr. Tejwani, Mohit Mishra, Amit Kumar
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Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding. [PDF]
Sensors (Basel), 2021 Yamagiwa S, Ichinomiya Y.
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Semiannual status report [PDF]
The work performed in the previous six months can be divided into three main cases: (1) transmission of images over local area networks (LAN's); (2) coding of color mapped (pseudo-color) images; and (3) low rate video coding. A brief overview of the work
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Constrain Bias Addition to Train Low-Latency Spiking Neural Networks. [PDF]
Brain Sci, 2023 Lin R, Dai B, Zhao Y, Chen G, Lu H.
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Cognitive Information Processing [PDF]
, 1983 Contains reports on four research projects.Associated Press (Grant)Providence Gravure, Inc ...
Schreiber, William F., Troxel, Donald E.
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Real-time transmission of digital video using variable-length coding [PDF]
Huffman coding is a variable-length lossless compression technique where data with a high probability of occurrence is represented with short codewords, while 'not-so-likely' data is assigned longer codewords.
Bizon, Thomas P. +2 more
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A General Rate-Distortion Optimization Method for Block Compressed Sensing of Images. [PDF]
Entropy (Basel), 2021 Chen Q, Chen D, Gong J.
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Communication system analysis for manned space flight [PDF]
One- and two-dimensional adaptive delta modulator (ADM) algorithms are discussed and compared. Results are shown for bit rates of two bits/pixel, one bit/pixel and 0.5 bits/pixel.
Schilling, D. L.
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Advanced Computing Methods for Impedance Plethysmography Data Processing. [PDF]
Sensors (Basel), 2022 Khoma V, Kenyo H, Kawala-Sterniuk A.
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Data compression in remote sensing applications [PDF]
A survey of current data compression techniques which are being used to reduce the amount of data in remote sensing applications is provided. The survey aspect is far from complete, reflecting the substantial activity in this area.
Sayood, Khalid
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