Recently developed methods for power estimation have primarily focused on combinational logic We present a framework for the e cient and accurate estimation of average power dissi pation in sequential circuits Switching activity is the primary cause of power dissipation in CMOS circuits Accurate switching activity estimation for sequential circuits is considerably more di cult than that for com...

For the multivariate one-sample location model (relating to a diagonally symmetric distribution). sequential non-parametric (point as well as interval) estimators based on appropriate rank statistics are considered and their asymptotic properties studied. In this context. asymptotic risk-efficiency of the proposed estimators and asymptotic normality of the associated stopping times are establis...

The sequential estimation (SE) proposed by Ward for rapid acquisition of pseudo noise (PN) sequences works well only at moderate signal-to-noise ratios (SNR’s). In this paper, a seed accumulating sequential estimation (SASE) method based on accumulating seeds of the received PN sequence is proposed, which performs well at low SNR also. The mean acquisition time of the proposed SASE method is de...

The sequential estimation (SE) proposed by Ward for rapid acquisition of pseudo-noise (PN) sequences performs well only at moderate chip signal-to-noise ratios (SNRs). In this paper, a seed accumulating sequential estimation (SASE) method based on accumulated seeds of the received PN sequence is proposed, which performs well at low chip SNR also. The mean acquisition time performance of the SAS...

Sequential sampling algorithms have recently attracted interest as a way to design scalable algorithms for Data mining and KDD processes. In this paper, we identify an elementary sequential sampling task (estimation from examples), from which one can derive many other tasks appearing in practice. We present a generic algorithm to solve this task and an analysis of its correctness and running ti...

The problem of minimum risk point estimation under squared-error loss function (SELF) for the parameter associated with the generalized life distributions, is considered. The failure of fixed sample size procedure is established. Sequential procedure using uniformly minimum variance unbiased estimator (UMVUE) at both the stopping and estimation stages is developed and the second-order approxima...

In this paper we discuss modifications to tracking models, and sequential Monte Carlo algorithms for their estimation from sequential and batch data. New models for tracking are proposed which involve a dynamical model on both the hidden state value and its arrival times. In this way we aim to have a more flexible and parsimonious representation of time-varying state characteristics which is mo...

|This paper describes a technique to handle temporal signal correlations during estimation of average power in sequential circuits. A key feature of the approach is that it provides an eecient and accurate way to estimate average power using a Monte Carlo based method. Results on a large number of benchmark sequential circuits connrm that the technique runs eeciently (up to two orders of magnit...

The usual methodology employed in analysis after a sequential clinical trial is based on orderings of the possible samples resulting from the design. However, this approach lacks flexibility for use in wider applications. In this paper two estimation techniques not based on orderings are considered and modified to obtain improved accuracy. A bias-adjusted maximum likelihood estimate together wi...