The aim of this paper is to find the optimal mother wavelet function and wavelet
decomposition level when denoising the Doppler cardiogram (DCG), the heart signal …

In addition to the target echo, the signal environment of the secondary surveillance radar
(SSR) also includes environmental echo and noise interference, which greatly affect the …

Hyperspectral image (HSI) is usually corrupted by various types of noise, including
Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank …

For the non-stationary signal denoising, an effective method for dropping ambient noise is
based on discrete wavelet transform. Also, in order to minimize the loss of useful signal and …

Based on the construction of the Chinese Meridian Project, two mesosphere, stratosphere,
and troposphere (MST) radars were designed and located in Beijing and Chongyang, Hubei …

An improved moments estimation algorithm used in a newly developed K-band wind profiler
to obtain accurate 3-D profiles of wind velocity along the altitude is described. The signal-to …

Abstract Principal Component Analysis (PCA) is a simple non-parametric method for
extracting relevant information from high-dimensional data sets. In this paper, we analyze …

The estimation of wind has applications in various fields, such as weather forecasting,
renewable energy, aviation, fire management, construction, and emergency response in …

Various non‐atmospheric signals contaminate radar wind profiler (RWP) data, which
produce bias in estimation of moments and wind velocity. Especially, in ultra high frequency …

It is challenging to estimate winds accurately from higher altitudes using VHF-MST radar.
The current study introduces the Adaptive-Bayesian Deterministic Stochastics Technique …