نتایج جستجو برای: lms algorithm
تعداد نتایج: 757726 فیلتر نتایج به سال:
This paper presents a unifying view of various error nonlinearities that are used in least mean square (LMS) adaptation such as the least mean fourth (LMF) algorithm and its family and the least-mean mixed-norm algorithm. Speci cally, it is shown that the LMS algorithm and its errormodi ed variants are approximations of two recently developed optimum nonlinearities which are expressed in terms ...
Recently a dithered signed-error constant modulus algorithm (DSE-CMA) has been proposed for the purpose of low complexity implementation of constant modulus algorithm (CMA), which is widely used for blind adaptive filtering due to its LMS-like desirable robustness properties. Despite the fact that this algorithm has robustness properties closely resembling those of CMA, it is very slow in conve...
This paper presents a comparative performance study between the recently proposed time-varying LMS (TVLMS) algorithm and other two main adaptive approaches: the least-mean square (LMS) algorithm and the recursive leastsquares (RLS) algorithm. Three performance criteria are utilized in this study: the algorithm execution time, the minimum meansquared error (MSE), and the required filter order. T...
In Zampunieris (2006) we proposed a new kind of learning management system, proactive LMS, designed to help users to better interact online by providing programmable, automatic, and continuous analyses of the users’ actions, augmented with appropriate actions initiated by the LMS itself. The proactive part of our LMS is based on a dynamic rules-based system. However, the main algorithm we propo...
An adaptive transversal equalizer based on the least-mean-square (LMS) algorithm, operating in an environment with a temporally correlated interference, can exhibit better steady-state mean-square-error (MSE) performance than the corresponding Wiener filter. This phenomenon is a result of the nonlinear nature of the LMS algorithm and is obscured by traditional analysis approaches that utilize t...
Partial updating of LMS filter coefficients is an effective method for reducing the computational load and the power consumption in adaptive filter implementations. The Sequential Partial Update LMS algorithm is one popular algorithm in this category. In [5] a first order stability analysis of this algorithm was performed on wide sense stationary signals under the restrictive assumption of smal...
In this paper, the fast least-mean-squares (LMS) algorithm was used to both eliminate noise corrupting the important information coming from a piezoresisitive accelerometer for automotive applications, and improve the convergence rate of the filtering process based on the conventional LMS algorithm. The response of the accelerometer under test was corrupted by process and measurement noise, and...
The Conventional acoustic echo canceller encounters problems like slow convergence rate (especially for speech signal) and high computational complexity as the identification of the echo path requires filter with more than a thousand taps, non-stationary speech input, slowly time-varying systems to be identified. The demand for fast convergence and less MSE level cannot be met by conventional a...
This paper describes the use of laser radars in autonomous navigation of a mobile robot. Merits and demerits of several kinds of laser radars are discussed first along with the principle of each laser radar’s operation. Then the Laser Measurement System (LMS) made by SICK is introduced, and its technical data is provided. The time-varying potential field algorithm is presented which is used to ...
Using coherent optical detection and digital signal processing, laser phase noise and equalization enhanced phase noise can be effectively mitigated using the feed-forward and feed-back carrier phase recovery approaches. In this paper, theoretical analyses of feed-back and feed-forward carrier phase recovery methods have been carried out in the long-haul high-speed n-level phase shift keying (n...
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