Add to ORKGA new method of nonstationary signal analysis, called time-correlation analysis (TCA), is applied to a class of nonstationary random signals containing time dis-tortion. The method reveals a relationship between the TCA summary statistics and the distortion and leads to two nonparametric estimators for the distor-tion function. An example is given that demonstrates the application of the TCA method to motion com-pensation problems in radar imaging. 1
Space-Time adaptive processing (STAP) has become a leading technique in airborne radar signal proces...
The special issue of EURASIP Journal on Advances in Signal Processing 2012 focuses on the synergisti...
This thesis focuses on statistical methods for non-stationary signals. The methods considered or dev...
This is an editorial paper for a special issue in an application area of time-frequency signal proce...
This thesis covers research into radar target characterisation and recognition with the use of joint...
Abstract:- This paper proposes a new correlation analysis method for nonstationary and energy-limite...
Abstract: The method of non-linear lag correlation rejection from the non-stationary time ...
International audienceOn the subject of discrete time delay estimation (TDE), especially in the doma...
The concept of radar was developed for the estimation of the distance (range) and velocity of a targ...
This work investigates methods for the analysis and synthesis of nonstationary signals using time-fr...
Abstract. Correlation functions based on time averag-ing are not suited to study non-stationary poin...
Abstract-The ezpected ambiguity function (EAF) is shown to provide a generalization of stationary co...
Nonstationary random processes in nonreal-time applications - theories for nonreal-time correlation ...
ii The Fourier transform of a signal defines the frequency domain representation of the signal in th...
The correlation and spectral analysis methods for uniformly sampled stationary random signals, estim...
Space-Time adaptive processing (STAP) has become a leading technique in airborne radar signal proces...
The special issue of EURASIP Journal on Advances in Signal Processing 2012 focuses on the synergisti...
This thesis focuses on statistical methods for non-stationary signals. The methods considered or dev...
This is an editorial paper for a special issue in an application area of time-frequency signal proce...
This thesis covers research into radar target characterisation and recognition with the use of joint...
Abstract:- This paper proposes a new correlation analysis method for nonstationary and energy-limite...
Abstract: The method of non-linear lag correlation rejection from the non-stationary time ...
International audienceOn the subject of discrete time delay estimation (TDE), especially in the doma...
The concept of radar was developed for the estimation of the distance (range) and velocity of a targ...
This work investigates methods for the analysis and synthesis of nonstationary signals using time-fr...
Abstract. Correlation functions based on time averag-ing are not suited to study non-stationary poin...
Abstract-The ezpected ambiguity function (EAF) is shown to provide a generalization of stationary co...
Nonstationary random processes in nonreal-time applications - theories for nonreal-time correlation ...
ii The Fourier transform of a signal defines the frequency domain representation of the signal in th...
The correlation and spectral analysis methods for uniformly sampled stationary random signals, estim...
Space-Time adaptive processing (STAP) has become a leading technique in airborne radar signal proces...
The special issue of EURASIP Journal on Advances in Signal Processing 2012 focuses on the synergisti...
This thesis focuses on statistical methods for non-stationary signals. The methods considered or dev...