小波变换技术具有很强的信号分离能力容易把随机噪声从信号中分离出来，从而提高信号的信噪比。
Wavelet Transfer (WT) is a powerful technique in signal separation. It is very easy for WT to improve the signal-to-noise (SNR) by separating the random noise and useful signal.
基于频谱特征的语音激活检测方法易于实现，计算量小且准确率高，适合较高信噪比的实时数字通信网络中。
Our voice activity detection method is simple to be implemented and calculated and has high accuracy, which can work in the real time digital communication network with better signal-noise-ratio.
提出了一种基于小波变换域的块匹配运动估计搜索的新算法，模拟实验表明，利用此算法可获得比一般运动块匹配方法更大的峰值信噪比，具有更好的性能复杂度比。
The authors present a new algorithm for block-matching motion estimation based on wavelet transform. The simulation shows that this algorithm has better PSNR and performance-to-complexity ratio.
针对光电探测所得低信噪比图像序列，提出了一种结合形态学和图像流法的空间小目标提取方法。
To detect small space target from low SNR image sequences acquired from electro-optical detection, an effective method which combines morphology with image flow is proposed.
低信噪比小目标检测是当前的研究热点，能量积累是其关键技术之一。
Low SNR point target detection is the currently research focus, energy accumulation is one of its key elements.
针对超声无损检测中超声信号受噪声污染、信噪比不高的情况，提出了一种新的基于改进阈值函数的小波域超声信号去噪方法。
Aimed at the ultrasonic signal polluted by noises, which is low in SNR, a method of the ultrasonic signal denoising in wavelet domain based on an improved threshold function was put forward.
针对远距离低信噪比条件下目标检测难的实际问题，提出采用D - S证据理论的双色红外小目标融合检测方法。
Aim at the problem of detecting for distant small target with very low SNR, a method of two color IR small target fusion detection using D-S evidence theory is proposed.
本文特别指出，在小信噪比输入的条件下，非相干解调器的“门限效应”严重恶化，甚至使收信机无法工作。
It is emphasized that under some poor SNR conditions, the "threshold effect" of non-coherent demodulator degrades seriously, even causes the receiver to be out of work.
为了提高红外图像序列中弱小目标的信噪比和检测概率，同时考虑检测算法实时性，提出了一种新的基于空时域滤波的小目标检测方法。
To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
本文以复杂海面背景下的红外舰船图像作为低信噪比条件下红外小目标图像的代表。
The infrared ship image in the background of sea and sky is performed with the improved morphological filters.
十几年来，红外低信噪比小目标检测问题一直是红外图象领域的研究热点。
The detection of dim small targets in the infrared images has been the subject of intense investigation for not more than two decades.
为了在保持原始图像信息的情况下，提高图像的空间分辨率，改善图像的峰值信噪比，在前期的研究中提出了小波双三次插值搜索算法。
In order to improve the resolution and PSNR of the obtained image without damaging its original information, the Wavelet Bicubic Interpolation Search Algorithm was proposed in the previous work.
苏北盆地的SXF地区是典型的低信噪比地震资料地区，断裂系统复杂，构造破碎，圈闭面积小，火成岩发育。
Because of complex fracture system, faulted structures, and rich igneous rocks, SXF area is a representative low signal-to-noise ratio seismic data region in Subei basin.
分析了小波双线性插值中高频外推阈值门限与重建图像峰值信噪比的变化关系，提出了峰值信噪比最大小波双线性插值迭代算法。
The variable relationship between the threshold of the extrapolation and its correspondent Peak of the Signal-to-Noise Ratio (PSNR) in the Wavelet Bi-linear Interpolation Algorithm is deeply analyzed.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
实验结果表明，与普通小波阈值去噪方法相比，该算法能获得较好的图像效果，提高信噪比。
The experimental results showed that compared with other common wavelet threshold desnoising methods, the presented method can improve the visual effect and increase SNR of the denoised image.
为解决低信噪比下激光微弱回波的检测问题，提出了一种新的小目标检测算法。
To solve the laser weak echo detection under the clutter background, A dynamic programming(DP) technique has been developed for the detection of weak targets.
为了克服噪声对超声检测成像质量的影响，利用离散二进制小波变换的分解重构算法来降低脉冲噪声的干扰，提高超声图像的信噪比。
To overcome pulse noise influence to image quality, discrete dyadic wavelet transform (DDWT) is used to reduce the noise influence and improve signal to noise ratio (SNR).
运用小波域及DCT域下的分形压缩图像方法，提高了编码速度，得到较高的压缩比和信噪比，但重构图像质量还存在块状效应。
Fractal Image-compressed is carried out after DWT or DCT to improve coding speed and get higher CR and PSNR, but quality of reconstructed-Image is not satisfactory.
随尺度增加，边缘和噪声的小波幅值表现出不同变化特性，从而在低信噪比的信号中检测出噪声和边缘。
Wavelet breadths of edges and noise display different identities with increasing of the scale, so edges and noise can be respectively detected from the signals of low signal-noise ratio.
为提升NQR信号信噪比，根据NQR信号的特点，提出了一种基于改进阈值函数小波变换的NQR信号去噪方法。
In this work, a signal process method for NQR signals is presented, which is based on wavelet transform and specially designed for the detection of pentaerythritol tetranitrate with NQR.
对于低信噪比的回波可以采用其小波变换后的尺度系数代替原信号使用本算法来识别。
To identify the echoes of low signal to noise ratio, we can apply the algorithm by using scale coefficients of wavelet transformation in place of the basic signal.
最后，运用小波阈值去噪法对两个系统的实验信号进行了分析，结果表明该方法对提高信噪比，抑制噪声具有一定的作用。
Finally, wavelet threshold de-noising method was used to analyze the experimental signal of the two systems. The results showed this method can make some de-noising effect.
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.
合成空间谱在低信噪比、小快拍数和非等强多目标条件下具有优良的目标分辨能力和稳健性。
Especially it shows high resolution and robust performance under scenarios of low SNR, snapshot deficiency or targets with different powers.
实验结果表明，与普通的小波去噪方法相比，该方法不但可以保留图像的边缘信息，而且能提高去噪后图像的峰值信噪比。
Experimental results showed that, compared with the usual denoising method, the proposed method could keep images edges from damaging and increase PSNR.
实验结果表明，与普通的小波去噪方法相比，该方法不但可以保留图像的边缘信息，而且能提高去噪后图像的峰值信噪比。
Experimental results showed that, compared with the usual denoising method, the proposed method could keep images edges from damaging and increase PSNR.
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