We present a new fast motion estimation method useful for high speed video encoding. Most of the motion estimation methods for video coding can be classified as Block Matching (BM) methods or Pel Recursive (PR) methods . Majority of the current fast motion estimation methods belong to block matching category. These methods try to reduce the number of search locations. Our proposed method is bas...

We have designed and simulated an adaptive line enhancer system for conferencing. This system is based upon a leastmean-square (LMS) and recursive adaptive algorithm (RLS) Performance of ALE is compared for LMS&RLS algorithms.

In order to coordinate the damping performance and energy regenerative performance of energy regenerative suspension, this paper proposes a structure of vehicle semi-active energy regenerative suspension with electro-hydraulic actuator (EHA). In light of the proposed concept, a specific energy regenerative scheme is designed and the mechanical properties test is carried out. Based on the test r...

A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, multi-degree-of-freedom systems undergoing free oscillations or subjected to arbitrary direct force excitations and/or nonuniform support motions. Recursive least-squares parameter estimation methods combined with nonparametric identification techniques are used to represent, with sufficient accu...

In this paper the issue of energy efficiency in CDMA wireless data networks is addressed through a game theoretic approach. Building on a recent paper by the first two authors, wherein a non-cooperative game for spreading-code optimization, power control, and receiver design has been proposed to maximize the ratio of data throughput to transmit power for each active user, a stochastic algorithm...

A fast estimator is proposed and applied to the problem of range identification in the presence of unknown motion parameters. Assuming a rigid-body motion with unknown constant rotational parameters but known translational parameters, estimation of the unknown parameters is achieved by a fast estimator, followed by recursive least square extraction. The results are also extended to the case of ...

Methods for estimating the pulse repetition interval and the pulse time-of-arrival jitter variance of a periodic pulse train (PT) are given. The estimators operate on data comprising a set of pulse time-of-arrival measurements which are corrupted by additive noise (timing jitter). Parameter estimators are formulated using two jitter models common to PT applications. The estimators include a clo...

The application of the least-mean-square (LMS) and recursive-least-square (RLS) algorithms to the estimation of symbol period is discussed. The algorithms are based on the measurements of time between two consecutive detected transitions in noisy waveforms. Two versions of the algorithm are developed, for white and colored measurement noise model. Conditions are derived that guarantee proper be...

Sequential decision algorithms are investigated, under a hmily of additive performance criteria, for individual data sequences, with varieus appliition areas in information theory and signal processing. Simple universal sequential schemes are known, under certain conditions, to approach optimality uniformly as fast as n-l log n, where n is the sample size. For the case of finite-alphabet observ...

This paper presents a comparative study between an adaptive fuzzy controller and an adaptive selftuning controller with application to excitation control of a synchronous generator. The adaptive self-tuning controller is based on a dual action, obviously on control input, and also on reference signal. The proposed adaptive fuzzy controller includes a mechanism to adapt one of the tuning paramet...