1205 search results - page 10 / 241 » Quantization for distributed estimation using neural network... |
TCOM
2011
14 years 4 months ago
2011
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
ANNPR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
ICANN
2007
Springer
15 years 1 months ago
2007
Springer
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set ...
AICCSA
2007
IEEE
15 years 1 months ago
2007
IEEE
Abstract-- This paper presents an artificial neural networks approach to estimate the indicated torque of a single-cylinder diesel engine from crank shaft angular position and velo...