噪

First of all, introduce the Fourier analysisand wavelets analysis, two methods of non-linear function approximation of the effect ...

第二章介绍了图像去噪的知识和各种去噪方法，着重介绍了阈值去噪和相关的阈值取法。

After the model is discretizated,projection algorithm and the method for ROF model are applied.Thus an image is decomposed into two parts,bounded variation component u and texture with noise v.The numer...

数值实验表明，此方法仅用共40次迭代就能达到很好的分解效果，且去噪的信噪比比ROF模型提高了29.95%，而且除能有效地提取纹理和去噪外本方法对图像的边缘及其他重要细节损坏较小。

The main jobs of the paper are as follows, Multi-scale decomposition and reconstruction of wavelet transform is utilized to filter the noise of negative-pressure-wave, which is brought by leakage. With the capacity to detect the signal singularity quickly and accurately, wavelet transform was used to catch the break point of pressure signal. Accordingly, the work improved the location accuracy.

主要研究工作有：利用小波变换的多分辨率分解和重构技术，对采集到的管道泄漏产生的负压波信号进行消噪处理，并对几个影响消噪质量的关键因素及其选取方法进行了分析；再利用小波变换技术对信号奇异点的快速、准确的识别能力，对经消噪后的负压波信号进行奇异点捕捉，从而实现更精确的单条燃气管道泄漏定位。

And the effects of length of data N to the approximate entropy of chaotic system isalso analyzed.All these are accomplished by examining several time series produced by a surperposition of white noise and noise-free data.It uses the discrete system logistic map and continuous system Lorenz attractoras the examples.

以Logistic方程描述的离散系统和Lorenz方程描述的连续系统为例，采用白噪声和无噪声信号以不同的信噪比混迭而成数据的方法，分析了相同数据长度N，不同信噪比下，混沌系统近似熵的变化；相同信噪比，不同数据长度对系统近似熵的影响。

In order to overcome the aliasing phenomenon commonly existing in real contourlet transform image denoising, some characters of complex contourlet transform whose structure is a cascading of dual tree complex wavelet and directional filter banks are discussed. It is proved that the transform performs well at division and restraining ability under white Gaussian noise condition. Then, an image denoising algorithm was proposed based on the transform.

为了克服实轮廓波图像消噪后广泛存在的混叠现象，研究了基于双树复小波级联方向滤波器架构的复轮廓波变换图像消噪的若干性质，证明了对于高斯白噪声图像，该变换具有更好的分割能力和抑制能力，并在此基础上提出了一种基于该变换的图像消噪算法。

At first, three requirements of image denoising are proposed, based on which the defect of the fidelity term used in the mean curvature motion model and that in the total variation based image denoising models are investigated.

在讨论了图像去噪的3个基本要求的基础上，总结了平均曲率运动去噪模型和总变差去噪模型中利用保真项的不足。

As the mine accidents happen frequently in recent years, the detecting technology for microseism becomes much more important. However, there is no advanced microseism detecting system at home. It's pretty important for microseisms denoising and Reversion. A wavelet denoising method is presented here to process microseism signal, and the microseism record can get high signal to noise ratio. Meanwhile based on the software of LabVIEW, s design of real-time detecting system for microseism based on virtual instrument is presented. The advantage of the virtual instrument was sufficiently exerted to achieve the real-time detecting and analyzing of the microseism.

以往基于DSP或其他单片机的微震系统，其资源的有限性很难达到理想的采集效果，同时也难以完成先进算法的实现，而对微震信号的去噪与还原在监测系统中起着很重要的作用；在深入分析小波变换的信号去噪方法基础上，对微震信号进行了处理，得到高信噪比的微震记录，实现了对噪声的有效抑止；同时在LabVIEW平台软件设计的基础上，实现了一种基于虚拟仪器微震实时检测的设计方案，充分发挥了虚拟仪器的优势，结果表明基于LabVIEW的微震系统能很好地完成实时监测及其分析。

When the launched SNR is more than the threshold, the cognitive network is an inter-user interference limited system, the base station selects the stochastic wave forming mode of a single beam and selects the user which has the maximum received SNR from the sub-scribers as a current communication object; when the launched SNR is less than the threshold, the sub-scriber network is a noise interference limited system. The base station selects the opportunistic SDMA of multi-beams and then selects a plurality of scribers with the maximum received SNR from the sub-scribers as the communication objects, thus realizing the maximization of system capacity.

当发射信噪比大于门限值时，认知网络为用户间干扰受限系统，基站选择单波束的随机波束成型模式，在从用户中选择接收信噪比最大的用户作为本次的通信的对象；当发射信噪比小于门限时，从用户网络为噪声干扰受限系统，基站选择多波束的机会式空分多址模式，在从用户中选择信噪比最大的几个用户作为通信对象，从而实现了系统容量最大化。

The application of noise removal for EEG signals based on wavelet transform is discussed in the paper,And the influence on EEG noise removal using different wavelet basis is introduced,Furthermore the wavelet soft-thresholding method and 1-Dimensional wavelet single-branch reconstruction are used for removing noise in EEG.

摘 要 摘要本文探讨了小波变换在脑电去噪中的应用方法，介绍了不同小波基对脑电去噪的影响，比较了小波软门限法和一维小波单支重构去噪方法的去噪效果。

Firstly, adaptive median filter is used to remove the part of salt-and-pepper noise and to preserve the edge and texture information in the image.

传统的去噪算法要求含噪图像信噪比较高，并且去噪后图像边缘及纹理信息受到不同程度地损失。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。