Spiking neural networks application to signal processing: observation of dynamical systems Anna Bulanova1 , Olivier Temam1 and Rodolphe Heliot2 Abstract— We investigated the possibility of using spiking neural networks

Source URL: pages.saclay.inria.fr

Better than streaming. More than just Radio. Traditional radio can’t give your listeners any choices, simply because of the technology: you only have one tower and one signal. The Internet is all about listener choice

Source URL: www.socialradio.org

Evol Ecol DOIs10682ORIGINAL PAPER Influences of geographic differentiation in the forewing warning signal of the wood tiger moth in Alaska

Source URL: users.jyu.fi

IQS Laboratory: 1st module Big Picture We will study the signal transduction pathway that leads to the production of nitric oxide by activated macrophages.

Source URL: iqscience.richmond.edu

Reliability William Revelle and David M. Condon Northwestern University Abstract Separating the signal in a test from the irrelevant noise is a challenge for all measurement. Low test reliability limits test validity, at

Source URL: www.personality-project.org

Signal Enhancement and Solvent-Based Interference Reduction for Quad-ICP-MS with the CETAC Aridus II™ Desolvating Nebulizer System The Aridus II™ Desolvating Nebulizer System is a specialized device for the introduct

Source URL: www.cetac.com

DATA ANALYSIS MARKUS BRAUER Experiments on Recognition and the Signal Detection Theory (SDT) The most important formulas:

Source URL: lapsco.univ-bpclermont.fr

Senior Software Developer - Criteo Email, R&D Grenoble Your mission: Build systems that make the best decision in 50ms, half a million times per second. Across three continents and six datacenters, 24/7. Find the signal

Source URL: labs.criteo.com

Mirror Mirror on the Ceiling: Flexible Wireless Links for Data Centers Xia Zhou, Zengbin Zhang, Yibo Zhu, Yubo Li§ , Saipriya Kumar, Amin Vahdat† , Ben Y. Zhao and Haitao Zheng Department of Computer Science, U. C. Sa

Source URL: www.cs.dartmouth.edu

• Signal processing
• Radio resource management
• Information theory
• Beamforming
• Sonar
• Radio electronics
• IEEE 802.11n-2009
• Antenna
• 3G MIMO
• Adaptive beamformer

ROBUST FRONT-END PROCESSING FOR SPEAKER IDENTIFICATION OVER EXTREMELY DEGRADED COMMUNICATION CHANNELS Seyed Omid Sadjadi and John H.L. Hansen Center for Robust Speech Systems (CRSS), The University of Texas at Dallas, Ri

Source URL: crss.utdallas.edu

• Signal processing
• Computational linguistics
• Time series analysis
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Voice activity detection
• Lawrence Rabiner
• Speech coding
• Autocorrelation
• Speech enhancement
• Linear prediction