Result it was found that fluctuation complexity was more effective in detecting low - snr speech than spectral entropy 结果在低信噪比情况下，涨落复杂性测度比广泛应用的谱熵方法更有效。
The effective detection for small targets in low snr images has becoming a hot research field these years 摘要低信噪比条件下的小目标检测问题一直是近些年来国内外学者研究的一个热门课题。
The simulating results show that the proposed method can detect the endpoint exactly in the low snr environments 仿真实验表明此方法快速有效，具有较强的抗噪能力，特别适合低信噪比下的端点检测。
In our research , the following two aspects are implemented . firstly , a hf modem for extremely low snr is designed 本文所做的工作包括如下两个方面：一是设计了一种极低信噪比条件下的短波调制解调器。
It is an unfathomed and difficult problem that weak and small targets are detected in complicated background and low snr 摘要复杂背景下低信噪比弱小目标的自动检测是当今目标自动探测研究尚未解决的一个难题。
How to detect the uwb radar signal and estimate the signal parameters under condition of low signal to noise ratio ( snr ) is very important 如何在低信噪比下检测超宽带雷达信号并进行参数估计具有重要的意义。
However , in the fields of edge extraction and contour tracking for low snr images , most existing algorithms become powerless 目前，在低信噪比图像序列的边缘提取与运动跟踪的研究领域，现有的大部分算法很难得到满意的结果。
Regardless using nerve net , ica or me method , it is difficult to separate the mixed ds / cdma signal in low snr condition 而不管是神经元网络法, ica法还是最大熵法一般情况下都难以在低信噪比情况下正确分离出混合的ds / cdma信号。
In order to improve its estimated performance in case of low signal - to - noise ratio , a modified differential denoising estimator is formulated 为了进一步改善该估计器在低信噪比情况下的性能，同时提出了一种修正的差分去噪估计器。
( 2 ) for the cepstrum - based pn period estimation under very low snr ( < ? 10db ) , a refined cepstrum algorithm is proposed which performs better 计算机仿真表明在低信噪比情况下( snr ? 10db ) ,可以对伪随机码周期有一个精确的估计。
