This paper proposes a new continuous wavelet family. Here we will take one function and those successive derivatives will become continuous by fundamental theorem of calculus.We will show that these functions become a new continuous wavelet family by satisfying the conditions of the wavelets without FIR filters and without scaling function like Mexican and Morlet. Wavelet analysis has attracted attention for its ability to analyze rapidly changing transient signals. Any application using the Fourier transform can be formulated using wavelets to provide more accurately localized temporial and frequency information
We show how to apply the Continuous Wavelet Transform (CWT) to discrete data. This is done by derivi...
In this paper I formulate an explicit wavelet transform that, applied to any distribution in S^1(R^2...
Wavelets are mathematical functions that cut up data into different frequency components, and then s...
AbstractA new wavelet family K(t) is discussed which represents a natural range of continuous pulse ...
This chapter discusses various aspects of the wavelet transform when applied to continuous functions...
The concepts of wavelet theory were provided by Meyer, Mallat, Daubechies and many others.Wavelets a...
A body of work using the continuous wavelet transform has been growing. We provide a self- containe...
AbstractWavelet analysis is a universal and promising tool with very rich mathematical content and g...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
The wavelet transform is compared with the more classical short-time Fourier transform approach to s...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
International audienceWe describe some geometric aspects of wavelet systems leading to time-frequenc...
A fast, continuous, wavelet transform, based on Shannon`s sampling theorem in frequency space, has b...
There exist a lot of continuous nowhere differentiable functions, but these functions do not have th...
This research paper was completed and submitted at Nipissing University, and is made freely accessib...
We show how to apply the Continuous Wavelet Transform (CWT) to discrete data. This is done by derivi...
In this paper I formulate an explicit wavelet transform that, applied to any distribution in S^1(R^2...
Wavelets are mathematical functions that cut up data into different frequency components, and then s...
AbstractA new wavelet family K(t) is discussed which represents a natural range of continuous pulse ...
This chapter discusses various aspects of the wavelet transform when applied to continuous functions...
The concepts of wavelet theory were provided by Meyer, Mallat, Daubechies and many others.Wavelets a...
A body of work using the continuous wavelet transform has been growing. We provide a self- containe...
AbstractWavelet analysis is a universal and promising tool with very rich mathematical content and g...
Wavelet theory is a relatively new tool for signal analysis. Although the rst wavelet was derived by...
The wavelet transform is compared with the more classical short-time Fourier transform approach to s...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
International audienceWe describe some geometric aspects of wavelet systems leading to time-frequenc...
A fast, continuous, wavelet transform, based on Shannon`s sampling theorem in frequency space, has b...
There exist a lot of continuous nowhere differentiable functions, but these functions do not have th...
This research paper was completed and submitted at Nipissing University, and is made freely accessib...
We show how to apply the Continuous Wavelet Transform (CWT) to discrete data. This is done by derivi...
In this paper I formulate an explicit wavelet transform that, applied to any distribution in S^1(R^2...
Wavelets are mathematical functions that cut up data into different frequency components, and then s...