The effects of stage numbers on power dissipation of pipeline analog-to-digital converter （ADC） are studied and a novel design method aiming for power optimization is presented. In this method, a minimum comparator ...The effects of stage numbers on power dissipation of pipeline analog-to-digital converter （ADC） are studied and a novel design method aiming for power optimization is presented. In this method, a minimum comparator number algorithm （MCNA） is first introduced, and then the optimum distribution of resolutions through pipeline ADC stages is deduced by MCNA. Based on the optimum stage-resolution distribution, an optimization method is established, which examines the precise function between ADC power and stage resolutions with a parameter of power ratio （Rp）. For 10-bit pipeline ADC with scaling down technology, the simulation results by using MATLAB CAD tools show that an eight-stage topology with 1-bit RSD correction achieves the power optimization indicated by the power reduction ratio.展开更多
Throughout this paper,D=（d<sub>1</sub>,d<sub>2</sub>,...,d<sub>n</sub>）denote a sequence of nonnegative inte-gers.We let（?）（D）denote the class of all graphs with degree sequen...Throughout this paper,D=（d<sub>1</sub>,d<sub>2</sub>,...,d<sub>n</sub>）denote a sequence of nonnegative inte-gers.We let（?）（D）denote the class of all graphs with degree sequence D,or equally,theclass of all symmetric（0,1）--matrices with trace 0 and row sum vector D.The structure matrix S=S（D） of D is a matrix of order n+1,whose entries展开更多
We study a new family of random variables that each arise as the distribution of the maximum or minimum of a random number N of i.i.d. random variables X<sub>1</sub>, X<sub>2</sub>,…, X<sub...We study a new family of random variables that each arise as the distribution of the maximum or minimum of a random number N of i.i.d. random variables X<sub>1</sub>, X<sub>2</sub>,…, X<sub>N</sub>, each distributed as a variable X with support on [0, 1]. The general scheme is first outlined, and several special cases are studied in detail. Wherever appropriate, we find estimates of the parameter θ in the one-parameter family in question.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.10871106
文摘For a class of generalized Feistel block ciphers, an explicit formula for the minimum numbers of linearly active S-boxes of any round r is presented.
基金Supported by the National Natural Science Foundation of China (No. 60072004)
文摘The effects of stage numbers on power dissipation of pipeline analog-to-digital converter （ADC） are studied and a novel design method aiming for power optimization is presented. In this method, a minimum comparator number algorithm （MCNA） is first introduced, and then the optimum distribution of resolutions through pipeline ADC stages is deduced by MCNA. Based on the optimum stage-resolution distribution, an optimization method is established, which examines the precise function between ADC power and stage resolutions with a parameter of power ratio （Rp）. For 10-bit pipeline ADC with scaling down technology, the simulation results by using MATLAB CAD tools show that an eight-stage topology with 1-bit RSD correction achieves the power optimization indicated by the power reduction ratio.
基金Supported by National Natural Science Foundation of China(No.19971086)
文摘Throughout this paper,D=（d<sub>1</sub>,d<sub>2</sub>,...,d<sub>n</sub>）denote a sequence of nonnegative inte-gers.We let（?）（D）denote the class of all graphs with degree sequence D,or equally,theclass of all symmetric（0,1）--matrices with trace 0 and row sum vector D.The structure matrix S=S（D） of D is a matrix of order n+1,whose entries
文摘We study a new family of random variables that each arise as the distribution of the maximum or minimum of a random number N of i.i.d. random variables X<sub>1</sub>, X<sub>2</sub>,…, X<sub>N</sub>, each distributed as a variable X with support on [0, 1]. The general scheme is first outlined, and several special cases are studied in detail. Wherever appropriate, we find estimates of the parameter θ in the one-parameter family in question.
