منابع مشابه
Ieee Transactions on Signal Processing
| We examine a classiication problem in which seismic waveforms of Natural Earthquakes are to be distinguished from waveforms of Man-Made Explosions. We present an Integrated Classiication Machine (ICM) which is a hierarchy of Artiicial Neural Networks (ANN) that are trained to classify the seismic waveforms. In order to maximize the gain of combining the multiple ANNs, we suggest to construct ...
متن کاملIeee Transactions on Signal Processing
|Neural maps combine the representation of data by codebook vectors, like a vector quantizer, with the property of topography, like a continuous function. While the distortions due to the vector quantization are simple to compute and to compare between diierent maps, topography of a map is diicult to deene and to quantify. Yet, topography of a neural map is an advantageous property, e.g. in the...
متن کاملIeee Transactions on Signal Processing
| This paper introduces the generalized coherence (GC) estimate and examines its application as a statistic for detecting the presence of a common but unknown signal on several noisy channels. The GC estimate is developed as a natural generalization of the magnitude-squared coherence (MSC) estimate { a widely used statistic for non-parametric detection of a common signal on two noisy channels. ...
متن کاملIeee Transactions on Signal Processing
|Two training algorithms for self evolving neural networks are discussed for rule based data analysis. E cient classi cation is achieved with less number of automatically added clusters and application data is analysed by interpreting the trained neural network as a fuzzy rule based system. Learning Vector Quantisation algorithm has been modied acquiring the self evolvement character in the pro...
متن کاملIeee Transactions on Signal Processing
This paper deals with multiwavelets which are a recent generalization of wavelets in the context of multirate lter banks and with their applications to signal processing and especially compression. By their inherent structure, multiwavelets are t for processing multi-channel signals. First, we will recall some general results on multi lters by looking at them as time-varying lters. Then, we wil...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2023
ISSN: ['1053-587X', '1941-0476']
DOI: https://doi.org/10.1109/tsp.78