NDLI: Machine learning plug-ins for GNU Radio Companion

Content Provider	IEEE Xplore Digital Library
Author	Anil, R. Danymol, R. Gawande, H. Gandhiraj, R.
Copyright Year	2014
Description	Author affiliation: Centre for Excellence in Comput. Eng. & Networking, Amrita VishwaVidyapeetham, Coimbatore, India (Anil, R.; Danymol, R.; Gawande, H.) \|\| Dept. of Electron. & Commun. Eng, Amrita VishwaVidyapeetham, Coimbatore, India (Gandhiraj, R.)
Abstract	This paper gives an insight about how to create classifier plug-ins (signal processing blocks) using hard-code input for GNU Radio Companion (GRC). GNU Radio Companion is an open source Visual programming language for any real time signal processing applications. At present there is no classifier block available inside this GRC tool. Here we are introducing a low cost classifier which utilizes the basic machine learning algorithms:linear regression and logistic regression. The creation of classifier plug-ins in an open source software enables easy manipulation of real time classification problems during the transmission and reception of signals in Software Defined Radios. So this workdescribes the development of signal processing block that can be done by changing the Python code and C++ codes of the `gr-modtool' package. It is highly cost effective and with great potential since GNU Radio software is open source and free.
Starting Page	1
Ending Page	5
File Size	1652443
Page Count	5
File Format	PDF
e-ISBN	9781479949823
DOI	10.1109/ICGCCEE.2014.6922250
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Logistic Regression Linear regression Gradient Descent method Real Time Classification Machine Learning Signal Processing Blocks Signal processing algorithms Linear Regression Signal processing Real-time systems Software Logistics Software radio
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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