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» A Recurrent Neural Filter for Adaptive Noise Cancellation
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IJCNN
2007
IEEE
13 years 11 months ago
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...
Il Park, António R. C. Paiva, Jose C. Princ...
TASLP
2008
124views more  TASLP 2008»
13 years 5 months ago
Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments
Hands-free devices are often used in a noisy and reverberant environment. Therefore, the received microphone signal does not only contain the desired near-end speech signal but als...
Emanuel A. P. Habets, Sharon Gannot, Israel Cohen,...
JUCS
2006
95views more  JUCS 2006»
13 years 5 months ago
Fault Tolerant Neural Predictors for Compression of Sensor Telemetry Data
: When dealing with remote systems, it is desirable that these systems are capable of operation within acceptable levels with minimal control and maintenance. In terms or transmiss...
Rajasvaran Logeswaran
NECO
2010
103views more  NECO 2010»
13 years 1 days ago
Population Models of Temporal Differentiation
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
Bryan P. Tripp, Chris Eliasmith
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 9 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara