This paper proposes a cascaded RLS-LMS predictor for lossless audio coding. In this proposed predictor, a high-order LMS predictor is employed to model the ample tonal and harmonic components of the audio signal for optimal prediction gain performance. To solve the slow convergence problem of the LMS algorithm with colored inputs, a low-order RLS predictor is cascaded prior to the LMS predictor...

The sparsity-aware zero attractor least mean square (ZA-LMS) algorithm manifests much lower misadjustment in strongly sparse environment than its sparsity-agnostic counterpart, the least mean square (LMS), but is shown to perform worse than the LMS when sparsity of the impulse response decreases. The reweighted variant of the ZA-LMS, namely RZALMS shows robustness against this variation in spar...

This paper looks at a recipe for the construction of an intelligent Learning Management System from the perspective of a learning community focussed LMS research and development team. Four key ingredients; the Educational Activity Toolset, the Learning Object Library, the Adaptive Intelligent Agent and the Learning Community Agents, are defined and mixed well. However, this basic recipe only so...

aLFanet (IST-2001-33288) aims to build an adaptive iLMS (intelligent Learning Management System) that provides personalised eLearning based on the combination of different types of adaptation (e.g. learning routes, interactions in services, peer-to-peer collaboration, presentation). It integrates new principles and tools in the fields of Learning Design and Artificial Intelligence, following ex...

Integrated environmental system assessment and planning requires the application of different methods and software tools in a systematic and consistent workflow, often involving spatial data management, remote sensing and environmental modelling. Moreover, flexible and powerful interfaces are needed to allow for a seamless integration of these tools while avoiding file format and other transfer...

This paper introduces a new variable step-size LMS (NVSS LMS) algorithm in an adaptive channel equalizer. This variant of VSS LMS algorithm is based on the weighting coefficinets bias/varance trade-off. We will show here that the adaptive equalizer with the NVSS LMS algorithm has favorable performance. Simulation results are provided to support the proposed implementation of the NVSS LMS.

The eLearning is a new modern tool of current learning system; it is becoming so important of the learning of the universities. The core of eLearning solutions is LMS or CMS (learning/course management systems), which help the university to automates the managing of learning events. Some of LMS are commercial Software, while others are free Open-Source LMS. The universities give more attention ...

Uterine leiomyosarcoma (LMS) develops more often in the muscle tissue layer of the uterine body than in the uterine cervix. The development of gynecologic tumors is often correlated with female hormone secretion; however, the development of uterine LMS is not substantially correlated with hormonal conditions, and the risk factors are not yet known. Importantly, a diagnostic-biomarker which dist...

The most obvious approach for integrating lecture recordings into a learning management system (LMS) is adding lecture videos to a course’s presence in the LMS. Delivery of lecture recordings and access control can thus be facilitated by the LMS. A broader approach is coupling LMS and lecture recording system at all phases of content production and use. This paper describes an approach bringing...