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Chapter and Conference Paper
A New Adaptive Ridgelet Neural Network
In this paper, a new kind of neural network is proposed by combining ridgelet with feed-forward neural network (FNN). The network adopts ridgelet as the activation function in hidden layer of a three-layer FNN...
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Chapter and Conference Paper
Ultra-wideband Nearfield Adaptive Beamforming Based on a RBF Neural Network
An adaptive beamforming method based on radial-basis function (RBF) neural network is examined for ultra-wideband (UWB) array illuminated by nearfield source in this paper. An analysis of the principle of spac...
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Chapter and Conference Paper
A Novel Ridgelet Kernel Regression Method
In this paper, a ridgelet kernel regression model is proposed for approximation of multivariate functions, especially those with certain kinds of spatial inhomogeneities. It is based on ridgelet theory, kernel...
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Chapter and Conference Paper
Compression of Remote Sensing Images Based on Ridgelet and Neural Network
To get a high-ratio compression of remote sensing images, we advanced a new compression method using neural network (NN) and a geometrical multiscale analysis (GMA) tool-ridgelet. Ridgelet is powerful in deali...