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CBMS
2008
IEEE
15 years 8 months ago
Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion
This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In ou...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
IEICET
2007
75views more  IEICET 2007»
14 years 9 months ago
An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is t...
Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshi...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 3 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
68
Voted
GLVLSI
2009
IEEE
142views VLSI» more  GLVLSI 2009»
15 years 4 months ago
Hardware-accelerated gradient noise for graphics
A synthetic noise function is a key component of most computer graphics rendering systems. This pseudo-random noise function is used to create a wide variety of natural looking te...
Josef B. Spjut, Andrew E. Kensler, Erik Brunvand
ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Acoustic Echo Cancelation for High Noise Environments
Acoustic echo cancellation (AEC) is highly imperative for enhanced communication in noisy environments such as a car or a conference room. In this work, we present a dualstructure...
Amit Chhetri, Jack W. Stokes, Dinei A. F. Flor&eci...