Search Results - (( developing system lms algorithm ) OR ( java implication tree algorithm ))
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All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…In this regard, the aim of this paper is concerned about a narrowband feedforward ANC system in systems like air intake duct system and its novelty is to introduce all-pass filtered x LMS (APFxLMS) algorithm which do not require an estimation of the secondary path. …”
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2
Compensation of frequency independent I/Q imperfections using LMS algorithm
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Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation
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QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics
Published 2016“…The algorithm mentioned in the study reduces the computational complexity problem which is one of the main issues that accompany currently used tap filter algorithms, such as (LMS) and (RLS). …”
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5
Development of gesture-controlled robotic arm for upper limb hemiplegia therapy
Published 2022“…Many engineering challenges are addressed to develop a viable system for the therapy application: a real-time and accurate system for hand movement detection, limitation of robot workspace and hand-robot coordination, and development of hand motion-based robot position algorithm. …”
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6
Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification
Published 2015“…This research work aims to present our work towards Quranic accents (Qiraat) identification, which emphasizes on acoustic echo cancellation (AEC) of all echoed Quranic signals during the preprocessing phase of the system development. In order to conduct the AEC, three adaptive algorithms known as affine projection (AP), least mean square (LMS), and recursive least squares (RLS) are used during the preprocessing phase. …”
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7
Real time nonlinear filtered-x lms algorithm for active noise control
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8
Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman
Published 2022“…This conventional method has several disadvantages such as requiring an amount of time to answer questions, questions are answered casually, low quality of survey questions and a different way each student interprets the questions given. With the development of today's e-learning technology such as the digital learning management system (LMS), records of student activities and interactions with the learning system can be stored online. …”
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A novel design of an isochronous integration [iIntegration] framework for first/second order multidisciplinary transient systems
Published 2015“…Focusing on the class of the linear multistep (LMS) methods, algorithms by design was first utilized to develop GS4-2 framework for time integration of second order systems. …”
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Campus study buddy : collaborative learning and resource sharing app
Published 2024“…The trend of modernization and digitization of education is developing. Today, many educational institutions are using learning management systems to improve their operational efficiency. …”
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Final Year Project / Dissertation / Thesis -
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Mode division multiplexing zero forcing equalisation scheme using LU factorization
Published 2016“…These technique mainly rely on Least Mean Squared (LMS) and Recursive Least Squared (RLS) algorithms. …”
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Spatio-Temporal processing for Optimum Uplink-Downlink WCDMA Systems
Published 2008“…A Beamformer-Rake receiver can be an effective solution to provide the receivers enhanced capabilities needed to achieve the required performance of a WCDMA system. We consider three different Pilot Symbol Assisted (PSA) beamforming techniques, Direct Matrix Inversion (DMI), Least-Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms. …”
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15
Development of a State-Space Observer for Active Noise Control Systems
Published 2009“…The secondary path of the ANC system is modeled by using the LMS algorithm to complete the design of the Filtered-X Least Mean Square (FXLMS) controller. …”
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16
Comparative study of Pilot Symbol Assisted (PSA) beamforming techniques for (3G) WCDMA reverse link
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Performance analysis of non-blind adaptive beamforming techniques for (3G) WCDMA uplink
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18
Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning
Published 2021“…Raw data are collected by using Siemens LMS SCADAS Mobile data acquisition system. Furthermore, the statistical features are extracted and trained by multiple classifiers available in Classification Learner, MATLAB R2020b and validated by 5-fold cross-validation. …”
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Monograph
