For Wireless Sensor Networks, energy efficiency is always a key consideration in system design. Compressed sensing is a new theory which has promising prospects in WSNs. However, how to construct a sparse projection matrix is a problem. In this paper, based on a Bayesian compressed sensing framework, a new adaptive algorithm which can integrate routing and data collection is proposed. By introd...

We have analysed the formation of streak artefacts in the reconstruction based on the filtered back projection algorithm in electron tomography (ET) and accordingly applied an adaptive interpolation technique to artefact reduction. In the adaptive interpolation to recover the missing information, the edge positions in a projection curve were tracked to reduce the interpolation error. A simulati...

An Adaptive Projection Method for Unsteady, LowMach Number Combustion R. B. PEMBER , L. H. HOWELL , J. B. BELL , P. COLELLA , W. Y. CRUTCHFIELD , W. A. FIVELAND & J. P. JESSEE To cite this article: R. B. PEMBER , L. H. HOWELL , J. B. BELL , P. COLELLA , W. Y. CRUTCHFIELD , W. A. FIVELAND & J. P. JESSEE (1998) An Adaptive Projection Method for Unsteady, Low-Mach Number Combustion, COMBUSTION SCI...

When the direct model reference adaptive control (MRAC) scheme with first-order local estimators is employed to design totally decentralized controllers, the stability result can only be applied to a system with all of its nominal subsystem relative degrees less than or equal to two. In this paper, this restriction is relaxed and it is achieved by employing the parameter projection together wit...

In this paper, an improved adaptive monopulse scheme based on modified projection approximation subspace tracking deflation (MPASTd) approach is proposed. Owing to the fast convergence speed of MPASTd for recursively estimating the interference subspace, the proposed algorithm can obtain the formula for adaptive monopulse ratio calculation by a subspace projection. Therefore, it is able to accu...

ABSTRACT In this paper, we propose the summational projection algorithm which has the convergence properties of high speed and high accuracy under high noise and colored input signal. We particularly discuss the adaptive algorithm for the adaptive Volterra filter which can be used to identify and design nonlinear systems. The proposal algorithm realizes the these convergence properties by contr...

We describe a projection framework for developing adaptive multiscale methods for computing approximate solutions to elliptic boundary value problems. The framework is consistent with homogenization when there is scale separation. We introduce an adaptive form of the finite element algorithms for solving problems with no clear scale separation. We present numerical simulations demonstrating the...

In this paper, an intermittent update interval for filter coefficients and a simplified output error vector computation is proposed for a proportionate affine projection algorithm. It is shown that the proposed algorithm has good convergence performance and much smaller computation complexity than other proportionate-type APAs. Also, the accuracy of its implementation using the logarithmic numb...

The aim of the Speech Enhancement system is to improve the quality of noisy speech signal. This paper emphasize on enhancement of noisy speech by using Affine Projection Algorithm (APA) and Kernel Affine Projection Algorithm (KAPA). Noise is present everywhere in the environment, So Kernel adaptive filters are used to enhance noisy speech signal and shows the good improvement in increasing the ...

Different local projection (LP) estimators for structural impulse responses of proxy vector autoregressions are reviewed and compared algebraically with respect to their small sample suitability inference. Conditions numerical equivalence similarities some provided. Two generalized least squares (GLS) found be more accurate than the other LP in samples. In particular, a lag-augmented GLS estima...