Low complexity realizations of Least Mean Squared (LMS) error, Generalized Sidelobe Cancellers (GSCs) applied to adaptive beamforming are considered. The GSC method provides a simple way for implementing adaptive Linear Constraint Minimum Variance (LCMV) beamformers. Low complexity realizations of adaptive GSCs are of great importance for the design of high sampling rate, and/or small size and ...

Given LMS cone quantum catches from a surface under a first illuminant what is the best method of predicting what the corresponding quantum catches will be for the same surface under a second illuminant given only the quantum catches of a white surface under both illuminants? The von Kries rule is one well known method. In this paper, two new prediction methods along with a variation on an exis...

Sparse channel estimation problem is one of challenge technical issues in stable broadband wireless communications. Based on square error criterion (SEC), adaptive sparse channel estimation (ASCE) methods, e.g., zero-attracting least mean square error (ZA-LMS) algorithm and reweighted ZA-LMS (RZA-LMS) algorithm, have been proposed to mitigate noise interferences as well as to exploit the inhere...

Many universities have adopted Learning Management Systems (LMSs) to offer teachers a range of pedagogical and administrative tools for supporting teaching and learning activities. However, many teachers have diffi‐ culty using these LMSs; they have to encompass the LMS technical features and services in order to understand the underlying way of designing. Despite the use of external editors, i...

In this paper, an adaptive beamformer algorithm LMS is presented and showed to improve the Bayesian Maximum Entropy–Variational Analysis (BMEVA) performance for high resolution radar imaging and denoising. A formalism to fuse the BMEVA and its integration inside the LMS structure is also presented. Finally, the image enhancement and denoising produced by the proposed Adaptive BMEVA method is an...

Silicon thin layers are deposited on glass substrates with the thickness of 103 nm, 147 nm and 197 nm. The layers are produced with electron gun evaporation method under ultra-high vacuum condition. The optical Reectance and the Transmittance of produced layers were measured by using spectrophotometer. The optical functions such as, real and imaginary part of refractive index, real and imaginar...

BACKGROUND A biomedical signal can be defined by its extrinsic features (x-axis and y-axis shift and scale) and intrinsic features (shape after normalization of extrinsic features). In this study, an LMS algorithm utilizing the method of differential steepest descent is developed, and is tested by normalization of extrinsic features in complex fractionated atrial electrograms (CFAE). METHOD E...

In this paper, the conjugate gradient algorithm ((1]) is described and applied to the process of adaptive beamforming. This algorithm is a variation on the classical Fletcher-Reeves method, and it has a distinct advantage for real-time applications , since it has fast convergence properties, and requires no matrix inversions. This method is applied to a simple adaptive beamformer. Simulation re...