{"product_id":"adaptive-clustering-for-channel-equalisation-von-chuan-chin-pu-und-chuan-hsian-pu","title":"Adaptive Clustering for Channel Equalisation","description":"\u003cp\u003eDigital communications over bandlimited channels  often encounter the problem of intersymbol  interference (ISI), which can degrade signal quality  down to an unacceptable level. As such, a channel  equaliser is usually used at the receiving end to  mitigate the ISI. This book presents study of  adaptive channel equalisation based on soft- computing techniques. The main types of equalisers  considered in this book are based on fuzzy neural  networks (FNNs) and radial basis function networks  (RBFNs). The training procedures used to adapt the  networks include back propagation (BP) for FNN, and  a combination of unsupervised (K-means) and  supervised (Least mean square, LMS) learning for  RBFN. Minimal resource allocation network (MRAN) is  also discussed. The performances of the RBFN and FNN- based equalisers are evaluated by comparing with the  conventional linear transversal equaliser (LTE) and  the multilayer perceptron (MLP) based equalisers.  Simulation results are included to demonstrate the  performance of each network and algorithm.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838320144\"\u003e\u003ch3\u003eNetworks and Algorithms\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838320144","offer_id":39498921902173,"sku":"9783838320144","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/02a86dc7-b214-47d9-865b-33b6f024d675.jpg?v=1757654746","url":"https:\/\/shop.autorenwelt.de\/products\/adaptive-clustering-for-channel-equalisation-von-chuan-chin-pu-und-chuan-hsian-pu","provider":"Autorenwelt Shop","version":"1.0","type":"link"}