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The process of audio signal classification (ASC) involves the extraction of features from sound and the use of these features to identify the class it belongs to. There are many possible applications for ASC including for example speech recognition, audio database creation and information retrieval, health condition monitoring, audio scene analysis, etc. While relevant features have been well studied...
A novel semi-blind defocused image deconvolution technique is proposed, which is based on RBF neural network and iterative Wiener filtering. In this technique, firstly a RBF neural network is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF) parameter, iterative Wiener filter is adopted to complete the restoration. We experimentally illustrate...
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