نتایج جستجو برای: lms method
تعداد نتایج: 1634412 فیلتر نتایج به سال:
A new reweighted l1-norm penalized least mean square (LMS) algorithm for sparse channel estimation is proposed and studied in this paper. Since standard LMS algorithm does not take into account the sparsity information about the channel impulse response (CIR), sparsity-aware modifications of the LMS algorithm aim at outperforming the standard LMS by introducing a penalty term to the standard LM...
In the areas of acoustic research or applications that deal with not-precisely-known or variable conditions, a method of adaptation to the uncertainness or changes is usually necessary. When searching for an adaptation algorithm, it is hard to overlook the least mean squares (LMS) algorithm. Its simplicity, speed of computation, and robustness has won it a wide area of applications: from teleco...
Introduction: Nowadays all educational institutes are trying to use technology in their structure. This effort has been faced with different barriers, including cost, time, and support. Therefore, using open source softwares can partially help us in using technology. In this article, we review main features of several open source learning management softwares, while presenting a tool which incl...
Both least mean square (LMS) and least mean fourth (LMF) are popular adaptive algorithms with application to adaptive channel estimation. Because the wireless channel vector is often sparse, sparse LMS-based approaches have been proposed with different sparse penalties, for example, zero-attracting LMS and Lp-norm LMS. However, these proposed methods lead to suboptimal solutions in low signal-t...
This work is part of a first phase of the project “DOMAIN SPECIFIC MODELING FOR THE LEARNING OBJECTS BUILD PLATFORM-INDEPENDENT " and seeks to make a comparison between Open Source LMS to get a first approximation of common modules them, and then start building the ontology compatible with all LMS studied, for that reason this paper is organized as follows: 1.Select Tools to work. 2. Contextual...
Extracting clean fetal electrocardiogram (ECG) signals is very important in fetal monitoring. In this paper, we proposed a new method for fetal ECG extraction based on wavelet analysis, the least mean square (LMS) adaptive filtering algorithm, and the spatially selective noise filtration (SSNF) algorithm. First, abdominal signals and thoracic signals were processed by stationary wavelet transfo...
Track induced self-excited vibration is commonly encountered in EMS (electromagnetic suspension) maglev systems, and a solution to this problem is important in enabling the commercial widespread implementation of maglev systems. Here, the coupled model of the steel track and the magnetic levitation system is developed, and its stability is investigated using the Nyquist criterion. The harmonic ...
This paper provides comparative analysis of ten types of e-Learning Management Systems (LMS) established on the market. We recognize four LMS types: (1) proprietary LMS, (2) mainly proprietary and partly standard based LMS, (3) mainly standard based LMS and partly proprietary LMS and (4) open architecture LMS. The analysis shows that “standard/proprietary” systems lead e-Learning market at pres...
AIMS Percutaneous coronary intervention (PCI) is increasingly being used to treat left main stem (LMS) coronary artery disease. Disease at the LMS bifurcation is technically challenging to treat, and there is no consensus as to the best method. We previously described experimental and initial clinical results with the simultaneous kissing stents (SKS) technique in a small series using drug-elut...
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