Lossless coding standards for space data systems

Rice, R. F.

doi:10.1109/acssc.1996.601088

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…The JPEG committee and the Consultative Committee for Space Data Systems (CCSDS), for instance, have adopted the Golomb-Rice codes as part of their standards [3]. It has been shown that Golomb-Rice codes are optimal for geometric and Laplacian distributed sources [4].…”

Section: Golomb-rice Codesmentioning

confidence: 99%

Low-Complexity Compression for Sensory Systems

Leon-Salas

2015

IEEE Trans. Circuits Syst. II

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This paper presents a low-complexity mixed-domain data compression solution suitable for resource-constrained wireless sensory systems. Data compression reduces the transmission bandwidth of sensor nodes helping them to save energy and extend their operation time. In the proposed compression solution, the sensor signal is decorrelated in the analog domain and converted to digital using a compressing analogto-digital converter. The compressing converter is based on a cyclic converter architecture and is able to jointly perform the functions of quantization, signal conversion and entropy coding in a single circuit. Since data compression is performed as the sensor signal is acquired, there is no need to use a microprocessor or a dedicated circuit to compress the signal reducing the computational requirements of a sensor node. As a proof of concept the proposed data compression scheme was implemented using programmable hardware and employed to acquire and compress physiological and speech signals.

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Section: Golomb-rice Codesmentioning

confidence: 99%

Low-Complexity Compression for Sensory Systems

Leon-Salas

2015

IEEE Trans. Circuits Syst. II

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“…This complexity advantage has led the JPEG committee to adopt them as part of the JPEG-LS standard. The Consultative Committee for Space Data Systems (CCSDS) recommends the use of Golomb-Rice codes to compress the data of on-board scientific instruments [7].…”

Section: Golomb-rice Codesmentioning

confidence: 99%

An Analog-to-Digital Converter with Golomb-Rice Output Codes

Leon

Balkir

Sayood

et al.

2005 IEEE International Symposium on Circuits and Systems

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An analog-to-digital converter with data compression capabilities is described. By sharing circuits between an integrating converter and a Golomb-Rice encoder it is possible to jointly perform the tasks of quantization and coding. The Golomb-Rice codes are generated during the conversion cycle by employing a shift register and a digital multiplexer. The final codeword is read out serially from the shift register. The converter can also work in a non-compressing mode. This design provides a compact circuit suitable for on-sensor compression. Simulations at the system and transistor level corroborate the validity of the design.

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Electronics brain design for advanced microspacecraft

Wall

Fang²

1996

Acta Astronautica

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Lossless coding standards for space data systems

Cited by 9 publications

References 7 publications

Low-Complexity Compression for Sensory Systems

Low-Complexity Compression for Sensory Systems

An Analog-to-Digital Converter with Golomb-Rice Output Codes

Electronics brain design for advanced microspacecraft

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