Fuzzy Wavelets
نویسندگان
چکیده
A notion of fuzzy wavelets is introduced by using idea of fuzzy transforms. A detailed procedure for analysis and synthesis of functions through fuzzy wavelets is presented.
منابع مشابه
Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to select the best wavelets coefficient features, we first compute the energy-based variance distribution from wavelets coefficients at different subbands as well as the entropy-based fuzzy measures associated with the t...
متن کاملComplementarity and equivalence relationships between convex fuzzy systems with symmetry restrictions and wavelets
This paper considers the complementarity and equivalence relationships between convex fuzzy systems with symmetry restrictions and wavelets. Under the framework of function approximation, basic elements of fuzzy systems and wavelets theory will Author to whom all the correspondences should be addressed.
متن کاملAbstract- This paper discusses the use of total uncertainty methods in the computation of wavelets that best represent horse g
This paper discusses the use of combined uncertainty methods in the computation of wavelets that best represent horse gait signals. Combined uncertainty computes a composite of two types of uncertainties, fuzzy and probabilistic. First, we introduce fuzzy uncertainty properties and classes. Next, the gait analysis problem is discussed in the context of correctly classifying wavelettransformed s...
متن کاملJoint propagation of ontological and epistemic uncertainty across risk assessment and fuzzy time series models
This paper discusses hybrid probabilistic and fuzzy set approaches to propagating randomness and imprecision in risk assessment and fuzzy time series models. Stochastic and Computational Intelligence methods, such as Probability bounds analysis, Fuzzy -levels analysis, Fuzzy random vectors, Wavelets decomposition and Wavelets Networks are combined to capture different kinds of uncertainty. The...
متن کاملA Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications
The combination of wavelet theory and neural networks has lead to the development of wavelet networks. Wavelet networks are feed-forward neural networks using wavelets as activation function. Wavelet networks have been used in classification and identification problems with some success. The strength of wavelet networks lies in their capabilities of catching essential features in „frequency-ric...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011