Peak-insensitive parametric spectrum estimation

Non-Parametric Power Spectrum Estimation Methods

Determination of height of urban buildings based on non-parametric estimation of signal spectrum in SAR data tomography

Nowadays, the TomoSAR technique has been able to overcome the limitations of radar interferometry techniques in separating multiple scatterers of pixels. By extending the principles of virtual aperture in the elevation direction, these techniques pay much attention in the analysis of urban challenging areas. Despite the expectation of interference of the distribution of buildings with different...

A Convex Method for the Parametric Insensitive H2 Control Problem

Contrary to the standard H2 problem, the so-called insensitive H2 problem makes use of a criterion that takes explicitly into account the parametric sensitivity of the closed loop system. This problem has already been re-formulated as a structured H2 problem that is known to be equivalent to a specific BMI optimization problem when assuming full order controller. This paper presents a new formu...

Rapid parametric density estimation

Parametric density estimation, for example as Gaussian distribution, is the base of the field of statistics. Machine learning requires inexpensive estimation of much more complex densities, and the basic approach is relatively costly maximum likelihood estimation (MLE). There will be discussed inexpensive density estimation, for example literally fitting a polynomial (or Fourier series) to the ...

Non–parametric volatility estimation