2007 18th European Conference on Circuit Theory and Design 2007
DOI: 10.1109/ecctd.2007.4529710
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Energy consumption in RLC tree circuits

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Cited by 3 publications
(11 citation statements)
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“…The energy consumption dependence on the inductance can be understood by comparing the energy consumption in (8) to that obtained in an RC circuit having the same values of R eq and C eq , i.e. when 0.…”
Section: A Effect Of the Inductance On The Energy Consumptionmentioning
confidence: 99%
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“…The energy consumption dependence on the inductance can be understood by comparing the energy consumption in (8) to that obtained in an RC circuit having the same values of R eq and C eq , i.e. when 0.…”
Section: A Effect Of the Inductance On The Energy Consumptionmentioning
confidence: 99%
“…Let V in (s) and Y in (s) . (2) Note that the coefficients a 1 ...a 2n , b 0 ...b 2n-1 are real, nonnegative and only depend on the circuit elements R i , L i and C i [8], [10].…”
Section: General Model Of Rlc Tree Circuitsmentioning
confidence: 99%
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“…Several concerns regarding system modeling and simulation techniques for VLSI interconnect with an RLC higher-order tree networks have been addressed in the literature. Most analyses employ a reducedorder model or other model reduction methods to obtain simulation results for comparison with those obtained from SPICE or HSPICE tools [4][5][6][7][8][9][10][11]. It is forbidden for simulations to use SPICE-like tools to the large number of interconnect line networks.…”
Section: Introductionmentioning
confidence: 99%
“…The following representations and techniques for analyzing time-domain, dynamic performance, and frequency-domain stability of higher-order RLC-TIN systems, have been widely applied: 1) algebraic equations and differential equations, 2) signal flow graphs and transfer functions, and 3) higher-order reduction and model reduction methods [2,[4][5][6][7][8][9][10][11]. The use of higher-order reduction and model reduction approaches sometimes results in the loss of correspondence to the original physical system structure.…”
Section: Introductionmentioning
confidence: 99%