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Showing 5 open source projects for "karaoke source code"
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ns2-wimax-awg
WIMAX Model for ns-2.36 implementing IEEE 802.16-2012 OFDMA.
The earlier version of this NS-2 add-on (for OFDM PHY) was developed at NIST. At the WiMAX Forum Plenary Meeting at Hawaii (January 30 - February 2, 2007), the decision to merge the independent development efforts supported by Application Architecture Task Group (AATG), WiMAX Forum and NIST was taken. In 2009 the source code was made available to public though the website http://community.4gdeveloper.com/ and is moved from Google code to sourceforge gain a broader attention. Credit is given... -
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TraceMetrics
TraceMetrics is a trace file analyzer for Network Simulator 3 (ns-3).
... is an opensource tool, developed in Java and the code can be found here. We encourage the users to report any bugs found in the tool, mailing us at tracemetrics (at) tracemetrics.net -
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Positioning Algorithms
Positioning Algorithms for Mobile Ad Hoc Networks.
The DV-Hop, Amorphous, Centroid and APIT source code for NS2. Please reference this work as follows: A. Pineda-Briseño, R. Menchaca-Mendez, E. Chavez, G. Guzman, R. Menchaca-Mendez, R. Quintero, M. Torres, M. Moreno, and J. L. Diaz-De-Leon. "A Probabilistic Approach to Location Estimation in MANETs." Ad Hoc & Sensor Wireless Networks, vol. 28, no. 1-2, pp. 97-114, 2015. -
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Main source code is moved at https://github.com/jpahullo/planetsim. We recommend authors of contributions sections to move your code to github. Since then, contributions remain here for your use at will. PlanetSim is an object oriented simulation framework for overlay networks and services. This framework presents a layered and modular architecture with well defined hotspots documented using classical design patterns.
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SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files. SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.
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