Abstract. Adaptive inverse control of linear system with fixed learning rate least mean square (LMS) algorithm is improved by varying the learning rate. This variable learning rate LMS algorithm is proved to be convergent by using Lyapunov method. It has better performance especially when there is noise in command input signal. And it is simpler than the Variable Step-size Normalized LMS algori...

This paper presents a simple and easy implementable Least Mean Square (LMS) type approach for frequency estimation of three phase power system in an unbalanced condition. The proposed LMS type algorithm is based on a second order recursion for the complex voltage derived from Clarke's transformation which is proved in the paper. The proposed algorithm is real adaptive filter with real parameter...

PURPOSE Leiomyosarcomas (LMS) of deep and superficial tissues were examined to identify prognostic markers explaining their different biological behaviour and to define differences between cutaneous and subcutaneous LMS. LMS and leiomyomas (LM) of the skin were compared to and consistent differences that could aid in the (sometimes difficult) diagnosis. PATIENTS Material was obtained from 27 ...

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...

Learning Management Systems (LMS) are used widely to support training in an organization. Selecting and implementing an LMS can have an impact in cost, time and customer satisfaction in the organization. Due to the existence of a variety of definitions on the subject of elearning and LMS, it is necessary a conceptual framework using an ontology. This article presents a research in progress whos...

Introduction. Learning materials (LMs), are submitted to students in different types, from class notes to referring students to different references, which can have different effectiveness. Therefore, evaluation of effectiveness of commonly used types can help the university faculties in selection of more appropriate LMs for students. Methods. 1. The data regarding the types of LMs used in di...

This paper presents a new method for variable step size for LMS algorithm. The proposed algorithm is based on an absolute mean of estimation current and prior error vector. It is called New Varying Step Size LMS Algorithm (NVSSLMS). The main goal of this algorithm is performance enhancement of adaptive echo cancellation system. The proposed time varying step size method begins the learning proc...

{ The fast exact least-mean-square (LMS) algorithm is a computationally-eecient method for computing the outputs and updates for an adaptive LMS nite-impulse-response (FIR) lter. In this paper, we extend this method to several useful algorithms for feedforward active noise control: the ltered-X LMS, modiied ltered-X LMS, eecient modiied ltered-X LMS, periodic ltered-X LMS, and sequential ltered...

BACKGROUND Rectal leiomyosarcoma (LMS) is an extremely rare disease. Previously, LMS was not properly distinguishable from gastrointestinal stromal tumor (GIST) until c-kit, a characteristic marker of GIST, was discovered in 1998. No standard therapeutic strategy for gastrointestinal LMS has been established except for surgical resection because of its rarity. Rectal LMS is often accompanied by...