Nonparametric estimation of mean Doppler and spectral width
نویسندگان
چکیده
منابع مشابه
Nonparametric estimation of mean Doppler and spectral width
This paper proposes a new nonparametric method for estimation of spectral moments of a zero-mean Gaussian process immersed in additive white Gaussian noise. Although the technique is valid for any order moment, particular attention is given to the mean Doppler (first moment) and to the spectral width (square root of the centered second-spectral moment). By assuming that the power spectral densi...
متن کاملNonparametric Estimation of Mean Velocity and Spectral Width in Weather Radar
-This paper proposes a new nonparametric approach to the estimation of the mean Doppler velocity (first spectral moment) and the spectral width (square root of the second spectral centered moment) of a zero-mean stationary complex Gaussian process immersed in independent additive white Gaussian noise. By assuming that the power spectral density of the underlying process is bandlimited, the exac...
متن کاملNonparametric Estimation of Mean
This paper proposes a new nonparametric method for estimation of spectral moments of a zero-mean Gaussian process immersed in additive white Gaussian noise. Although the technique is valid for any order moment, particular attention is given to the mean Doppler ( rst moment) and to the spectral width (square root of the second spectral centered moment). By assuming that the power spectral densit...
متن کاملNonparametric Spectral-Spatial Anomaly Detection
Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector (NSSD), is proposed in this work which utilizes the benefits of spatial features and local st...
متن کاملNonparametric Estimation of Spatial Risk for a Mean Nonstationary Random Field}
The common methods for spatial risk estimation are investigated for a stationary random field. Because of simplifying, lets distribution is known, and parametric variogram for the random field are considered. In this paper, we study a nonparametric spatial method for spatial risk. In this method, we model the random field trend by a local linear estimator, and through bias-corrected residuals, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2000
ISSN: 0196-2892
DOI: 10.1109/36.823919