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  • 1970-1974  (5)
  • 1
    Publication Date: 2019-07-13
    Description: NASA-Ames Research Center, Stanford University, and Carleton University, Ottawa, Canada, are participating in a joint experiment to evaluate the feasibility and effectiveness of college curriculum sharing using compressed digital television and the Communications Technology Satellite (CTS). Each university will offer televised courses to the other during the 1976-1977 academic year via CTS, a joint program by NASA and the Canadian Department of Communications. The video compression techniques to be demonstrated will enable economical interconnection of educational institutions using existing and planned domestic satellites.
    Keywords: SOCIAL SCIENCES (GENERAL)
    Type: National Telecommunications Conference; Dec 02, 1974 - Dec 04, 1974; San Diego, CA
    Format: text
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  • 2
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    In:  CASI
    Publication Date: 2019-06-27
    Description: Transmission of parity bits together with data bits by a rate one half convolutional code of 25-bit constraint length, with sequential decoding of received signal increases quantity and accuracy of data transmitted by pulse code modulated system operating at given power level.
    Keywords: ELECTRONIC COMPONENTS AND CIRCUITS
    Type: ARC-10336
    Format: application/pdf
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  • 3
    Publication Date: 2019-07-13
    Description: Description of a 40-megabit-per-second hard decision sequential decoder which employs the fastest commercially available digital integrated circuits - MECL III. With this decoder an internal computational rate of 70,000,000 computations per second has been achieved. The computational efficiency of the decoding algorithm has been improved by incorporating two modifications to the Fano algorithm - namely, 'double quick threshold loosening' and 'diagonal steps.' On the basis of preliminary results, an output error rate of 0.00001 can be achieved with E sub b/N sub zero less than 5.4 dB at data rates up to 40 megabits per second. The very high internal operating speed of the decoder represents a factor of five increase in speed over any previous sequential decoder.
    Keywords: COMPUTERS
    Type: NTC ''72; National Telecommunications Conference; Dec 04, 1972 - Dec 06, 1972; Houston, TX
    Format: text
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  • 4
    Publication Date: 2019-07-13
    Description: Coding systems for high data rates were examined from the standpoint of potential application in space-station telemetry links. Approaches considered included convolutional codes with sequential, Viterbi, and cascaded-Viterbi decoding. It was concluded that a high-speed (40 Mbps) sequential decoding system best satisfies the requirements for the assumed growth potential and specified constraints. Trade-off studies leading to this conclusion are viewed, and some sequential (Fano) algorithm improvements are discussed, together with real-time simulation results.
    Keywords: COMMUNICATIONS
    Type: International Telemetering Conference; Sep 27, 1971 - Sep 29, 1971; Washington, DC
    Format: text
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  • 5
    Publication Date: 2019-07-13
    Description: Description of a 40-Mbps hard-decision sequential decoder for high-data-rate coding systems for earth-orbiting space missions with power-limited links. A prototype decoder has been designed and fabricated using the fastest commercially available digital integrated circuits, MECL III. Thus far, an internal computational rate of 70 million computations per second has been achieved. Computational efficiency of the decoding algorithm was greatly improved by incorporating two modifications to the Fano algorithm - 'double quick threshold loosening' and 'diagonal steps.' Preliminary results indicate that an output error rate of 0.00001 can be achieved with E sub b/N sub zero less than 5.4 dB at data rates up to 40 Mbps. At lower data rates, even less signal energy is required. This decoder is believed to be at least five times faster than any previous sequential decoder.
    Keywords: COMMUNICATIONS
    Type: International Telemetering Conference; Oct 10, 1972 - Oct 12, 1972; Los Angeles, CA
    Format: text
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