We present a new method to study linear systems that exhibit time-varying characteristics and are governed by ordinary differential equations. The method transforms the differential equation into the governing equation for the ambiguity function and to the time-frequency domain. The advantage of the method is that in the new domain an immense simplification occurs, both mathematically and physically. The method applies to both deterministic and stochastic differential equations. The approach is applied to the classical RC filter driven by white noise. We obtain a new characterization of the output spectra
In this paper, we consider the problem, usual in analog signal processing, to find a continuous line...
Many deterministic and random physical signals can be modeled as the output of a multi-input multi-o...
A time-domain algorithm for computation of the noise power spectral density (PSD) is proposed in [17...
We transform an initial value problem for a stochastic differential equation to the time-frequency d...
A new method is described to study dynamical systems characterized by linear ordinary differential e...
We have previously presented a method to write equations for the Wigner distribution corresponding t...
Most of the stochastic processes used to model physical processes are nonstationary, and yet most of...
When a system is acted upon by exterior disturbances, its time-development can often be described by...
\u97Identication of time-invariant linear dynamic systems is a mature subject. In this contribution ...
AbstractWhen a system is acted upon by exterior disturbances, its time-development can often be desc...
The solution of a linear time-invariant differential equation can be obtained as the output of a so-...
In this paper a method for the accurate characterization of linear systems from ..
This work investigates methods for the analysis and synthesis of nonstationary signals using time-fr...
This paper is concerned with the analysis, in a stochastic sense, of systems described by linear dif...
The characterization of a linear system from input/output measurements is addressed. The use of wide...
In this paper, we consider the problem, usual in analog signal processing, to find a continuous line...
Many deterministic and random physical signals can be modeled as the output of a multi-input multi-o...
A time-domain algorithm for computation of the noise power spectral density (PSD) is proposed in [17...
We transform an initial value problem for a stochastic differential equation to the time-frequency d...
A new method is described to study dynamical systems characterized by linear ordinary differential e...
We have previously presented a method to write equations for the Wigner distribution corresponding t...
Most of the stochastic processes used to model physical processes are nonstationary, and yet most of...
When a system is acted upon by exterior disturbances, its time-development can often be described by...
\u97Identication of time-invariant linear dynamic systems is a mature subject. In this contribution ...
AbstractWhen a system is acted upon by exterior disturbances, its time-development can often be desc...
The solution of a linear time-invariant differential equation can be obtained as the output of a so-...
In this paper a method for the accurate characterization of linear systems from ..
This work investigates methods for the analysis and synthesis of nonstationary signals using time-fr...
This paper is concerned with the analysis, in a stochastic sense, of systems described by linear dif...
The characterization of a linear system from input/output measurements is addressed. The use of wide...
In this paper, we consider the problem, usual in analog signal processing, to find a continuous line...
Many deterministic and random physical signals can be modeled as the output of a multi-input multi-o...
A time-domain algorithm for computation of the noise power spectral density (PSD) is proposed in [17...