Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{144796,
        author = {Vennapusa Lakshmi Kanthi and G.Sanjeeva Rayudu},
        title = {VLSI Design for Convolutive Blind Source Seperation},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {4},
        pages = {40-46},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144796},
        abstract = {This brief presents an efficient very-large-scale integration architecture design for convolutive blind source separation (CBSS). The CBSS separation network derived from theinformation maximization (Infomax) approach is adopted. The proposed CBSS chip design consists mainly of Infomax filteringmodules and scaling factor computation modules. In an Infomax filtering module, input samples are filtered by an Infomax filterwith the weights updated by Infomax-driven stochastic learningrules. As for the scaling factor computation module, all perationsincluding logistic sigmoid are integrated and implemented by thecircuit design based on a piecewise-linear approximation scheme.The proposed architecture of this paper analysis the logic size and area using Xilinx 14.3.},
        keywords = {Xlinix, infomax, sigmoid},
        month = {},
        }