Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processing due to its ability to underline and represent time-varying spectral properties of many transient and other nonstationary signals. However, DWT is a shift-variant transform. This shift-variance is a major problem with the use of DWT for transient signal analysis and pattern recognition applications. A number of modified forms of DWT have been investigated in recent years that provide approximate shift-invariant transform but at the cost of increased redundancy and complexity. In this paper, a shift-invariant analysis scheme is proposed which is non-redundant. This scheme combines minimum-phase (MP) reconstruction with the DWT so that the re...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
In the paper, analysis of “smacking ” artefacts, introduced to the speech signal by a lector, was sh...
We encounter a wide range of sounds everyday which are harmonic, transient or a mixture of both. A n...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first p...
In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first p...
In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first p...
<div><p>ABSTRACT Due to the ability of time-frequency location, the wavelet transform has been appli...
This paper presents a generalisation of the traditional Wavelet Transform (WT) called the Generalise...
This paper presents a generalisation of the traditional wavelet transform (WT) called the Generalise...
Signal analysts have traditionally relied on the Discrete Fourier Transform and various data windowi...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...
The analysis of transient signals using classical techniques is frequently not satisfactory. The Fou...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
In the paper, analysis of “smacking ” artefacts, introduced to the speech signal by a lector, was sh...
We encounter a wide range of sounds everyday which are harmonic, transient or a mixture of both. A n...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processi...
In this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transf...
In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first p...
In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first p...
In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first p...
<div><p>ABSTRACT Due to the ability of time-frequency location, the wavelet transform has been appli...
This paper presents a generalisation of the traditional Wavelet Transform (WT) called the Generalise...
This paper presents a generalisation of the traditional wavelet transform (WT) called the Generalise...
Signal analysts have traditionally relied on the Discrete Fourier Transform and various data windowi...
Abstract. The discrete wavelet transformation is a relative new tool to analyse discrete time series...
The analysis of transient signals using classical techniques is frequently not satisfactory. The Fou...
Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varyin...
In the paper, analysis of “smacking ” artefacts, introduced to the speech signal by a lector, was sh...
We encounter a wide range of sounds everyday which are harmonic, transient or a mixture of both. A n...