目前的声光层析方案距离临床应用还差很远，主要是信噪比差，且无法实行活体检测。
However, now this acoustooptical tomography has great distance from the clinical application due to both low signal-to-noise ratio (SNR) and impossibility to examine the patient in vivo.
光纤通信的出现大大缓解了长期以来一直困扰人们的传输速度低、信噪比差和易干扰等问题。
The appearance of optical fiber communications greatly alleviate such problems as low transmission speed, poor Signal-to-Noise and easy disturbance which puzzle people.
根据三脉冲激光雷达回波信号的特点，对信号进行差分滤波和匹配滤波处理，信噪比提高约1.5倍；
According to laser radar echo characteristic, the difference filter and the match filter were adopted. As a result, the SNR is advanced about 1.5 times.
首先，针对红外图像低信噪比的特点，采用局部灰度均值特征及局部标准差特征用于目标建模。
Firstly, the local gray mean feature and local standard deviation feature were utilized to realize target modeling based on the low SNR characteristic of ir images.
传统的帧间差分法算法简单、便于硬件实现，但在信噪比较低时抗噪性能较差。
Considering the characteristics of infrared image, the frame difference algorithm is simple and easy to be realized by hardware.
得到任意视角及可变信噪比下的一维距离高分辨率像，并用线性内差神经网络进行识别，得到了满意的结果。
The HRR image at various look angles and ratios of signal to noise is recognized by Linear Interpolation Neural Network and the result is very satisfactory.
通常的基于短时自相关的自适应线谱增强器（SABALSE）主要缺点是：输入信噪比低时，抑制高斯噪声性能差。
Traditional short-term autocorrelation-based adaptive line spectrum enhancer (SABALSE) becomes low in suppressing Gaussian noise when input signal-to-noise ratio becomes low.
并在原实验装置的基础上，利用信号差分方法减少了光强波动对实验干涉谱图的影响，改善了信噪比。
Based on our previous setup, a signal differential module is introduced to reduce the noise rising from the fluctuation of the laser power to improve the quality of the experimental interferogram.
涡街流量计测量应用广泛，但小流量信噪比低、抗干扰性能差。
Vortex flowmeter is a widely used hydro-vibration flowmeter. Its poor noise to signal ratio and anti-jamming ability, however, limit its application.
针对红外图像存在的对比度差、信噪比低等问题，提出了一种基于小波和侧抑制网络的红外图像对比度增强算法。
For infrared image with the characteristics of low contrast and low signal-to-noise, a infrared image enhancement method based on Wavelet Transform and Lateral Inhibition Network is presented.
方案中提出了：相关搜索、FFT检测信号载波的方法，解决了低信噪比、大频差条件下扩频码的同步捕获难题；
The method was Correlate search and FFT carrier detection, which could solve the problem of the capture of the spread spectrum code under the condition of low SNR and big frequency offset.
分析了在相同数据和随机数据扩频调制条件下接收信号信噪比估计的计算方法，并对于有频差情况下的计算方法进行了说明。
The two cases of pilot modulated data and random modulated data were theoretically analyzed, and the calculating method was also presented when the frequency offset existed.
分析了在相同数据和随机数据扩频调制条件下接收信号信噪比估计的计算方法，并对于有频差情况下的计算方法进行了说明。
The two cases of pilot modulated data and random modulated data were theoretically analyzed, and the calculating method was also presented when the frequency offset existed.
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