In this paper, e cient pipelined architectures for the implementation of the Transform Domain LMS algorithm, are presented. Pipelining of the TD-LMS algorithm is achieved by introducing an amount of time delay into the original adaptive scheme. The adaptation delay introduced to the TD-LMS algorithm allows for the development of pipelined architectures. By retiming the delays existing in the er...

The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteristics that the parameterized model may have. Assuming that such model is sparse in some domain (for example, it has sparse impulse or frequency response), we aim at developing such LMS algorithms that can adapt to the ...

The hardness and stress of amorphous carbon lms prepared by glow discharge and by ion beam assisting deposition are investigated. Relatively hard and almost stress free amorphous carbon lms were deposited by the glow discharge technique. On the other hand, by using the ion beam assisting deposition, hard lms were also obtained with a stress of the same order of those found in tetrahedral amorph...

In this paper we report results on the synthesis and magnetic properties of L10 FePt nanocomposite fi lms. Three fabrication methods have been developed to produce high-anisptropy FePt fi lms: non-epitaxial growth of (0 0 1)-oriented FePt:X (X=Ag, C) composite fi lms that might be used for perpendicular media; monodispersed FePt(CFx) core–shell nanocluster-assembled fi lms grown with a gas-aggr...

An adaptive filter is defined as a digital filter that has the capability of self adjusting its transfer function under the control of some optimizing algorithms. Most common optimizing algorithms are Least Mean Square (LMS) and Recursive Least Square (RLS). Although RLS algorithm perform superior to LMS algorithm, it has very high computational complexity so not useful in most of the practical...

LMS (Lernmanagement-Systeme) beinhalten bei flächendeckendem Einsatz kursspezifische Informationen, die bei der Erstellung und der Verwaltung von Vorlesungsaufzeichnungen umfangreiche Automatisierungspotenziale bieten. Durch Ansteuerung der Vorlesungsaufzeichnung aus dem LMS können Metadaten automatisch in die Aufzeichnung einfließen. Auch die Ansteuerung der zur Aufzeichnung benötigten Hörsaal...

We compared detection rates for cardiovascular magnetic resonance (CMR) perfusion and single photon emission tomography (SPECT) in the subset of patients from the CE-MARC study with significant left main stem (LMS) disease. Detection rates for LMS disease by CMR perfusion were higher than for SPECT, and CMR identified a classical LMS pattern with higher frequency. Visual perfusion defects occur...

The expression of p16 as a tumor suppressor protein was evaluated in a retrospective analysis of paraffin-embedded tissue specimens of leiomyosarcoma (LMS), leiomyoma (LM) and normal myometrium. In this study, we investigated by immunohistochemistry p16 expression in 15 LMSs, 15 LMs and ten normal myometrium. Strong expression of p16 was found in 12 of the 15 LMSs and in three cases weak expres...

A Learning Management System (LMS) plays an important role in any eLearning environment. Still, the LMS cannot afford to be isolated from other systems in an educational institution. Thus, the potential for interoperability is an important, although frequently overlooked, aspect of an LMS system. In this chapter we make a comparative study of the interoperability features of the most relevant L...

The convergence speed of the conventional adaptive LMS algorithms for time delay estimation (TDE) is highly dependent on the spectral distribution of the desired random source signals of interest, thus the performance of TDE might be degraded, dramatically. To solve this problem, in this letter, a DCT-transform domain constrained adaptive normalized-LMS filtering scheme, referred to as the adap...