104 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The second part of the dissertation concentrates on developing nonnegative, high-resolution TFRs that correspond with intuitive notions of energy distribution. These so-called consistent TFRs are developed by requiring the desired representation to be consistent with a set of spectrogram-based energy measurements. The desired representation is obtained as the solution to a constrained-optimization problem. The optimization problem can be solved using a gradient-projection technique. The consistent TFR demonstrates superior performance compared to existing techniques on a variety of test signals as well as on actual biological data. The result is a high-resolution, nonneg...
Journal PaperTime-frequency analysis has recently undergone significant advances in two main directi...
In this paper, we consider a Gaussian sequence of independent observations having a polynomially inc...
The method of adaptive approximations by Matching Pursuit makes it possible to decom-pose signals in...
104 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The second part of the disser...
The first purpose of this chapter is to review several TFRs defined in Table 4.1 and to describe man...
A typical form of the resolution equation is derived by considering the physical measurement of an e...
The quadratic class of time-frequency distributions (TFDs) forms a set of tools which allow to effec...
This paper presents two novel results which are significant for the application of time-frequency si...
The Fourier Transform is an ideal tool for representing and implementing shift-invariant linear syst...
International audienceIn the case of multicomponent signals with amplitude and frequency modulations...
The paper introduces a new kernel for the design of a high resolution time-frequency distribution (T...
A tutorial review of both linear and quadratic representations is given. The linear representations ...
Many problems in signal processing and statistical inference are based on finding a sparse solution ...
An optimised time-frequency signal analysis software tool is presented here as a MATLAB toolbox. Thi...
The basic concepts of digital signal processing are taught to the students in engineering and scienc...
Journal PaperTime-frequency analysis has recently undergone significant advances in two main directi...
In this paper, we consider a Gaussian sequence of independent observations having a polynomially inc...
The method of adaptive approximations by Matching Pursuit makes it possible to decom-pose signals in...
104 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.The second part of the disser...
The first purpose of this chapter is to review several TFRs defined in Table 4.1 and to describe man...
A typical form of the resolution equation is derived by considering the physical measurement of an e...
The quadratic class of time-frequency distributions (TFDs) forms a set of tools which allow to effec...
This paper presents two novel results which are significant for the application of time-frequency si...
The Fourier Transform is an ideal tool for representing and implementing shift-invariant linear syst...
International audienceIn the case of multicomponent signals with amplitude and frequency modulations...
The paper introduces a new kernel for the design of a high resolution time-frequency distribution (T...
A tutorial review of both linear and quadratic representations is given. The linear representations ...
Many problems in signal processing and statistical inference are based on finding a sparse solution ...
An optimised time-frequency signal analysis software tool is presented here as a MATLAB toolbox. Thi...
The basic concepts of digital signal processing are taught to the students in engineering and scienc...
Journal PaperTime-frequency analysis has recently undergone significant advances in two main directi...
In this paper, we consider a Gaussian sequence of independent observations having a polynomially inc...
The method of adaptive approximations by Matching Pursuit makes it possible to decom-pose signals in...