Skip to search formSkip to main contentSkip to account menu

Shannon wavelet

Known as: Sinc wavelet 
In functional analysis, a Shannon wavelet may be either of real or complex type. Signal analysis by ideal bandpass filters defines a decomposition… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
in Romanian In this paper, the second order approximation of a C 2 -function, based on Shannon wavelet functions, is given. The… 
2008
2008
In this paper, we apply the Shannon wavelet basis functions to the method of moments to evaluate the radar cross section (RCS) of… 
2006
2006
This paper addresses nonlinear feature extraction and small sample size (S3) problems in face recognition. In sample feature… 
2006
2006
Chaotic neural networks have been proved to be strong tools to solve the optimization problems. In order to escape the local… 
2006
2006
The problem of the evolution of solitary profile having the form of a Shannon wavelet is considered as solution of a… 
Highly Cited
2005
Highly Cited
2005
This paper addresses a challenging problem in computational mechanics—the analysis of thick shallow shells vibrating at high… 
2003
2003
The expression of the reproducing kernel function and the isometrical identity of the image space of Shannon wavelet transform… 
2003
2003
It is well known that the Shannon Sampling Theorem allows us to fully recover a continuous-time bandlimited signal from its… 
1998
1998
1/f processes can be very useful in modeling processes with long-term correlation. We propose analysis and synthesis procedures… 
1996
1996
In this thesis, we present a theoretical study of biorthogonal Coifman wavelet systems , a family of biorthogonal wavelet systems…