An optimized LMS algorithm
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Updated
Jul 23, 2019 - Python
An optimized LMS algorithm
Distributed arithmetic (DA) is another way of implementing a dot product where one of the arrays has constant elements. The DA can be effectively used to implement FIR, IIR and FFT type.The DA logic replaces the MAC operation of convolution summation o into a bit-serial look-up table read and addition operation .
Various melodic noise filtering techniques viz. Adaptive Noise Cancellation, Spectral Methods and Deep Learning algorithms have been employed to filter music signals corrupted with additive Gaussian white noise. The noise reduction problem has been formulated as a filtering problem which is efficiently solved by using the LMS, NLMS and RLS metho…
Collection of parallel adaptive filter implementations for efficient signal processing applications in PyTorch.
This repository represents the implementation of a Normalized Least Mean Squares (NLMS) and a Least Mean Squares (LMS) adaptive filters
Utilization of LMS algorithm for adaptive filtering of a stochastic audio signal.
The software used to calculate the theoretical and empirical results for the articles about the exact expectation analysis of the LMS adaptive filtering.
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Solutions to the assignments for ECN-614
The Learning Management System (LMS) I created for my university semester project is a C# and ASP.NET MVC-based platform with a SQL Database. It facilitates seamless management offering features like user authentication, course management, student dashboards, grading and communication tools
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A group project with machine learning for Number-plate detection with lms algorithm
Matlab implementation of Wiener Filter and Lms Adaptive Filtering
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