A new adaptive lter algorithm has been developed that combines the beneets of the Least Mean Square (LMS) and Least Mean Fourth (LMF) methods. This algorithm , called LMS/F, outperforms the standard LMS algorithm judging either constant convergence rate or constant misadjustment. While LMF outperforms LMS for certain noise prooles, its stability cannot be guaranteed for known input signals even...

Uterine sarcoma is a rare tumor of mesodermal origin, accounting for 2-6% of uterine malignancies. Leiomyosarcoma (LMS) has been reported in only 1% of all uterine malignancies and is regarded as the most common primary uterine sarcoma. Herein, we present a case of LMS with unusual macroscopic features. The patient was a 61-year-old woman with LMS, which consisted of a large cystic mass (88×136...

In this paper, echo cancellation is done using genetic algorithm (GA). The genetic algorithm is implemented by two kinds of crossovers; heuristic and microbial. A new procedure is proposed to estimate the coefficients of adaptive filters used in echo cancellation with combination of the GA with Least-Mean-Square (LMS) method. The results are compared for various values of LMS step size and diff...

Standard least mean square/fourth (LMS/F) is a classical adaptive algorithm that combined the advantages of both least mean square (LMS) and least mean fourth (LMF). The advantage of LMS is fast convergence speed while its shortcoming is suboptimal solution in low signal-to-noise ratio (SNR) environment. On the contrary, the advantage of LMF algorithm is robust in low SNR while its drawback is ...

Broadband signal transmission over frequencyselective fading channel often requires accurate channel state information at receiver. One of the most attracting adaptive channel estimation methods is least mean square (LMS) algorithm. However, LMS-based method is often degraded by random scaling of input training signal. To improve the estimation performance, in this paper we apply the standard l...

It is well known that DC offset degrades the performance of analog adaptive filters. The effects of DC offset on LMS derivatives such as sign-data LMS, sign-error LMS and sign-sign LMS have been studied to much extent but that on MLMS, VSSLMS and NLMS algorithms have remained relatively ignored. The present paper reports the effects of dc offset on LMS algorithm and its four variations Sign LMS...

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 ...

Least mean square (LMS) based adaptive algorithms have been attracted much attention since their low computational complexity and robust recovery capability. To exploit the channel sparsity, LMS-based adaptive sparse channel estimation methods, e.g., L1-norm LMS or zero-attracting LMS (sparse LMS or ZA-LMS), reweighted zero attracting LMS (RZA-LMS) and Lp-norm LMS (LP-LMS), have been proposed b...

Abstract Introduction: The present study was conducted to investigate the association between the serum vitamin D levels and severity of disease in chronic rhino sinusitis (CRS) patients. Materials and Methods: This prospective cross-sectional study was conducted on a total of 93 patients suffering from chronic rhino sinusitis with nasal polyposis (CRS w NP). Serum level...