The Experts below are selected from a list of 24810 Experts worldwide ranked by ideXlab platform
Dimitris A. Pados - One of the best experts on this subject based on the ideXlab platform.
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EUSIPCO - The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009Co-Authors: Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (C sum ) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and C sum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
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The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009 17th European Signal Processing Conference, 2009Co-Authors: Ming Li, Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (Csum) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and Csum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
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the maximum squared correlation sum capacity and total Asymptotic Efficiency of minimum total squared correlation binary signature sets
IEEE Transactions on Information Theory, 2005Co-Authors: George N Karystinos, Dimitris A. PadosAbstract:The total squared correlation (TSC), maximum squared correlation (MSC), sum capacity (C/sub sum/), and total Asymptotic Efficiency (TAE) of underloaded signature sets, as well as the TSC and C/sub sum/ of overloaded signature sets are metrics that are optimized simultaneously over the real/complex field. In this present work, closed-form expressions are derived for the MSC, C/sub sum/, and TAE of minimum-TSC binary signature sets. The expressions disprove the general equivalence of these performance metrics over the binary field and establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible. The sum-capacity loss of the recently designed minimum-TSC binary sets is found to be rather negligible in comparison with minimum-TSC real/complex-valued (Welch-bound-equality) sets.
John D. Matyjas - One of the best experts on this subject based on the ideXlab platform.
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EUSIPCO - The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009Co-Authors: Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (C sum ) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and C sum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
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The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009 17th European Signal Processing Conference, 2009Co-Authors: Ming Li, Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (Csum) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and Csum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
Ming Li - One of the best experts on this subject based on the ideXlab platform.
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The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009 17th European Signal Processing Conference, 2009Co-Authors: Ming Li, Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (Csum) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and Csum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
Stella N. Batalama - One of the best experts on this subject based on the ideXlab platform.
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EUSIPCO - The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009Co-Authors: Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (C sum ) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and C sum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
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The maximum squared correlation, total Asymptotic Efficiency, and sum capacity of minimum total-squared-correlation quaternary signature sets
2009 17th European Signal Processing Conference, 2009Co-Authors: Ming Li, Stella N. Batalama, Dimitris A. Pados, John D. MatyjasAbstract:In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total Asymptotic Efficiency (TAE), and sum capacity (Csum) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and Csum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary field. We establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible.
George N Karystinos - One of the best experts on this subject based on the ideXlab platform.
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the maximum squared correlation sum capacity and total Asymptotic Efficiency of minimum total squared correlation binary signature sets
IEEE Transactions on Information Theory, 2005Co-Authors: George N Karystinos, Dimitris A. PadosAbstract:The total squared correlation (TSC), maximum squared correlation (MSC), sum capacity (C/sub sum/), and total Asymptotic Efficiency (TAE) of underloaded signature sets, as well as the TSC and C/sub sum/ of overloaded signature sets are metrics that are optimized simultaneously over the real/complex field. In this present work, closed-form expressions are derived for the MSC, C/sub sum/, and TAE of minimum-TSC binary signature sets. The expressions disprove the general equivalence of these performance metrics over the binary field and establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible. The sum-capacity loss of the recently designed minimum-TSC binary sets is found to be rather negligible in comparison with minimum-TSC real/complex-valued (Welch-bound-equality) sets.