水声微弱信号处理及其研究进展.

葛凤翔, 张迎辉 - Journal of Signal Processing, 2023 - search.ebscohost.com
干扰和噪声无处不在, 在实际应用中将直接影响到信号与信息处理的性能,
尤其是感兴趣目标信号相对干扰和噪声等的幅度较小的微弱信号处理, 需求非常广泛 …

[PDF][PDF] 模拟深海采矿环境下混响的局部平稳性分析

李密, 赵海鸣, 熊志宏, 王猛 - 电子学报, 2015 - ejournal.org.cn
针对深海采矿环境中强混响干扰下目标回波提取困难的问题, 提出了海底强混响环境的模拟方法
, 在此基础上建立了采矿模拟环境中混响干扰的AR 模型, 并利用建立的AR …

Discrimination Between Broadband Underwater Target Echo and Reverberation Based on Signal Spectral Flatness Feature

Y Chen, S Li, B Jia, Y Zhang… - Chinese Journal of …, 2019 - Wiley Online Library
Reverberation is the major interference of active detection, discrimination between target
echo and reverberation is difficult when the reverberation is very strong. For the …

A new method of anti-reverberation via fractional Fourier transform

D Bing, T Ran, Q Lin, L Feng - International Conference on …, 2003 - ieeexplore.ieee.org
A new method of anti-reverberation based on the FRFT is presented. With actual
reverberation data and the LFM pulse for separation, good results are obtained: the …

Adaptive Mean Ridgelet Transform Filtering for Detecting Signal and Comparison of Algorithm's Implements

GP Zhu, H Sun - Applied Mechanics and Materials, 2015 - Trans Tech Publ
For solving the problem which the performance of detection was reduced in the low signal to
noise ratio (SNR) using Wigner-Ville Hough transform (WHT), the method of XWVD adaptive …

Novel Way to Suppress Reverberation Based on Fractional Fourier Transform

B DENG, R TAO, L QI, F LIU - Journal of Beijing Institute of …, 2003 - journal.bit.edu.cn
A novel method of anti-reverberation based on the fractional Fourier transformation is
presented. By virtue of the fact that it has a good focus property in the fractional Fourier …

[引用][C] Broadband underwater target echo detectionbased on signal spectral irregularity feature () Share

C Yunfei, L Sheng, J Bing, W Zhenshan, L Guijuan

[引用][C] Adaptive Mean Ridgelet Transform Filtering for Detecting Signal and Comparison of Algorithm's Implements.

ZHU Guangping, SUN Hui - Applied Mechanics & Materials, 2014