A segmentation singular value decomposition (SVD)-lifting wavelet transform (LWT)
denoising algorithm based on ensemble empirical mode decomposition (EEMD) was …

Empirical mode decomposition (EMD) is widely used to analyze the non-linear and non-
stationary signals for noise reduction. In this study, a novel EMD-based denoising method …

Lidar is an active remote sensing technology that has many advantages, but the echo lidar
signal is extremely susceptible to noise and complex atmospheric environment, which …

The retrieval of the extinction coefficients of aerosols and clouds without assumptions is the
most important advantage of the high-spectral-resolution lidar (HSRL). The standard method …

Due to the fact that the vibration and pure rotational Raman signals collected by the
temperature and humidity profile lidar were 3–4 orders of magnitude weaker than the Mie …

The echo signal of light detection and ranging (LiDAR) system is easily disturbed by various
noises under the influence of intense background light. The signal to noise ratio (SNR) …

摘要白天强太阳背景光的去噪技术是激光雷达全天时, 高精度探测的关键技术,
也是目前全天时激光雷达探测的重难点问题. 本文以太阳背景光的滤除为目标 …

Atmospheric aerosols are the primary contributors to environmental pollution. As such
aerosols are micro-to nanosized particles invisible to the naked eye, it is necessary to utilize …

A novel signal denoising framework (EEMD-VMD-IMWOA) for Rayleigh lidar is proposed to
better suppress noise in an atmospheric lidar echo signal and improve retrieval accuracy …

We propose a spectroscopic interferometer measurement range enlargement method, which
expands the measurement range of the existing spectroscopic interferometer. The proposed …