This paper proposes applications of a code-division multiplexing technique to VLSI systems free from interconnection problems. We employ a pseudo-random orthogonal m-sequence carrier as a multiplexable information carrier to achieve efficient data transmission. Using orthogonal property of m-sequences, we can multiplex several computational activities into a single circuit, and execute in parallel using multiplexed data transmission with reduced interconnection. Also, randomness of m-sequences offers the high tolerance to interference (jamming), and suppression of dynamic range of signals while maintaining a sufficient signal-to-noise ratio (SNR). We demonstrate application examples of multiplex computing circuits, neural networks, and spread-spectrum image processing to show the advantages.
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Yasushi YUMINAKA, Kazuhiko ITOH, Yoshisato SASAKI, Takafumi AOKI, Tatsuo HIGUCHI, "A Code-Division Multiplexing Technique for Efficient Data Transmission in VLSI Systems" in IEICE TRANSACTIONS on Electronics,
vol. E82-C, no. 9, pp. 1669-1677, September 1999, doi: .
Abstract: This paper proposes applications of a code-division multiplexing technique to VLSI systems free from interconnection problems. We employ a pseudo-random orthogonal m-sequence carrier as a multiplexable information carrier to achieve efficient data transmission. Using orthogonal property of m-sequences, we can multiplex several computational activities into a single circuit, and execute in parallel using multiplexed data transmission with reduced interconnection. Also, randomness of m-sequences offers the high tolerance to interference (jamming), and suppression of dynamic range of signals while maintaining a sufficient signal-to-noise ratio (SNR). We demonstrate application examples of multiplex computing circuits, neural networks, and spread-spectrum image processing to show the advantages.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e82-c_9_1669/_p
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@ARTICLE{e82-c_9_1669,
author={Yasushi YUMINAKA, Kazuhiko ITOH, Yoshisato SASAKI, Takafumi AOKI, Tatsuo HIGUCHI, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Code-Division Multiplexing Technique for Efficient Data Transmission in VLSI Systems},
year={1999},
volume={E82-C},
number={9},
pages={1669-1677},
abstract={This paper proposes applications of a code-division multiplexing technique to VLSI systems free from interconnection problems. We employ a pseudo-random orthogonal m-sequence carrier as a multiplexable information carrier to achieve efficient data transmission. Using orthogonal property of m-sequences, we can multiplex several computational activities into a single circuit, and execute in parallel using multiplexed data transmission with reduced interconnection. Also, randomness of m-sequences offers the high tolerance to interference (jamming), and suppression of dynamic range of signals while maintaining a sufficient signal-to-noise ratio (SNR). We demonstrate application examples of multiplex computing circuits, neural networks, and spread-spectrum image processing to show the advantages.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - A Code-Division Multiplexing Technique for Efficient Data Transmission in VLSI Systems
T2 - IEICE TRANSACTIONS on Electronics
SP - 1669
EP - 1677
AU - Yasushi YUMINAKA
AU - Kazuhiko ITOH
AU - Yoshisato SASAKI
AU - Takafumi AOKI
AU - Tatsuo HIGUCHI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E82-C
IS - 9
JA - IEICE TRANSACTIONS on Electronics
Y1 - September 1999
AB - This paper proposes applications of a code-division multiplexing technique to VLSI systems free from interconnection problems. We employ a pseudo-random orthogonal m-sequence carrier as a multiplexable information carrier to achieve efficient data transmission. Using orthogonal property of m-sequences, we can multiplex several computational activities into a single circuit, and execute in parallel using multiplexed data transmission with reduced interconnection. Also, randomness of m-sequences offers the high tolerance to interference (jamming), and suppression of dynamic range of signals while maintaining a sufficient signal-to-noise ratio (SNR). We demonstrate application examples of multiplex computing circuits, neural networks, and spread-spectrum image processing to show the advantages.
ER -