Add to ORKGThis paper presents a generalisation of the traditional Wavelet Transform (WT) called the Generalised Wavelet Transform (GWT). This generalisation incorporates a number of linear Time-Frequency Representations (TFRs), including the Short-Time Fourier Transform (ST-FT) and WT. This paper addresses the problem of signal reconstruction from an arbitrary GWT. In order to be robust to modifications of the TFR, a Minimum Least Squares (MLS) approach to signal reconstruction is presented. This results in a method for reconstructing a MLS signal from a modified or altered GWT
This report reviews the history, theory and mathematics of wavelet analysis. Examination of the Four...
A useful technique is presented to efficiently represent non-stationary signals by combining the wav...
We consider reconstruction of signals by a direct method for the solution of the discrete Fourier sy...
This paper presents a generalisation of the traditional wavelet transform (WT) called the Generalise...
This paper considers signal reconstruction from a class of linear Time Frequency Representations (TF...
The first section of this thesis reviews such signal dependent techniques and describes a method of ...
The S-transform (ST) is a linear time-frequency representation containing characteristics from the s...
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...
We present an algorithm for reconstructing a time-domain signal from the magnitude of a short-time F...
Signal reconstruction from the measurements of its Fourier transform magnitude remains an important ...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
Image reconstruction from the measurements of the image Fourier transform magnitude remains an impor...
Abstract—The-transform is becoming popular for time-fre-quency analysis and data-adaptive filtering ...
This report reviews the history, theory and mathematics of wavelet analysis. Examination of the Four...
A useful technique is presented to efficiently represent non-stationary signals by combining the wav...
We consider reconstruction of signals by a direct method for the solution of the discrete Fourier sy...
This paper presents a generalisation of the traditional wavelet transform (WT) called the Generalise...
This paper considers signal reconstruction from a class of linear Time Frequency Representations (TF...
The first section of this thesis reviews such signal dependent techniques and describes a method of ...
The S-transform (ST) is a linear time-frequency representation containing characteristics from the s...
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...
We present an algorithm for reconstructing a time-domain signal from the magnitude of a short-time F...
Signal reconstruction from the measurements of its Fourier transform magnitude remains an important ...
Wavelet transform is a term from signal analysis. It is mostly used in physics, but also in finance,...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
Image reconstruction from the measurements of the image Fourier transform magnitude remains an impor...
Abstract—The-transform is becoming popular for time-fre-quency analysis and data-adaptive filtering ...
This report reviews the history, theory and mathematics of wavelet analysis. Examination of the Four...
A useful technique is presented to efficiently represent non-stationary signals by combining the wav...
We consider reconstruction of signals by a direct method for the solution of the discrete Fourier sy...