Spectrum estimation of electromagnetic signal based on AR model parametric spectrum estimation

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...

Time Delay Estimation for Speech Signal Based on FOC-Spectrum

Higher-order statistics can be used for time delay estimation (TDE) to suppress spatially correlated Gaussian noise, since the higher-order cumulant of Gaussian signal is always zero. However, third-order statistics is invalid for those signals with zero skewness, speech signal as a typical one. In this paper, the fourth-order cumulant (FOC) spectrum is derived, based on which a TDE algorithm t...

Non-Parametric Power Spectrum Estimation Methods

Robust Image Restoration Based on M-estimation Concept and Parametric Model of Image Spectrum

The paper presents robust approach to image restoration problem that combines the properties of classical regularized iterative algorithms and robust features based on the concept of M-estimators. The proposed approach makes possible to suppress the influence of impulse noise on restoration process. To enhance the convergence rate of iterations, remove ringing effect and preserve edges and fine...

Random Signal Frequency Identification Based on Ar Model Spectral Estimation

The power spectral estimation is an important element in the random signal analysis. The paper will introduce the principles of the classical power spectral estimation and modern power spectral estimation, analyses their characteristics and application in MATLAB simulation. The variance obtained by the classical power spectral estimation is inversely proportional to its resolution, the resoluti...