It is impossible to avoid noise at high temperature, so different mathematic methods, such as Savitzky-Golay method, FFT and wavelet methods have been adopted for denoising.
由于高温噪声的不可避免，采用了移动平均方法，傅里叶变换滤波和小波分析的方法对其进行了数据降噪处理。
In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.
利用小波分析良好的去噪和边缘检测特性，本文提出一种减少JPEG压缩图象中方块效应的有效算法。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。
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。
Probing to characters of subsidence series, we study on application of polynomial regression, wavelet denoising and frequency analysis on subsidence series processing.
针对沉降数据序列的特征，研究了多项式回归方法、小波降噪方法、频谱分析法在沉降数据处理中的应用。
Base on wavelet denoising theory as well as the characteristic of the signal, a wavelet denoising method applied to Strapdown north seeking system was proposed.
文章基于小波变换的消噪原理，结合待测信号的特点，创造性地提出一种适用于捷联寻北仪的小波消噪法。
An improved method based on orthogonal wavelet transform for adaptive speech denoising is proposed, which can increase the convergence rate of the adaptive speech denoising process.
提出一种基于正交小波变换的自适应语音消噪改进方法，这种方法可以提高自适应语音消噪过程的收敛速率。
From the experiments and analysis carried out in the paper, the optimal denoising results can be obtained by the combination of the empirical Wiener filter and the translation invariant wavelet.
结果表明，将小波域上的经验维纳滤波器与平移不变小波相结合进行去噪，所得到的效果是最佳的。
The following content of this thesis is about an analog receiver for MR spectrometer based on PCI bus and wavelet based MR image denoising method.
本文后面的内容将讨论核磁共振成像仪中的接收机的设计，以及数据后处理过程中的图像降噪方法。
Combining with the denoising principle, the rational selection issue concerning more suitable wavelet base and the best threshold rule in actual application is discussed and compared.
基于小波变换对信号去噪进行了深入地分析和研究，结合去噪原理讨论和比较了实际应用中对小波基及阈值规则的合理选取问题。
In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.
算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。
The merit of both shift invariance and directional selectivity enables the complex wavelet to overcome the artifacts in the discrete orthonormal wavelet denoising.
由于复数小波具备平移不变性和方向选择性等优点，使得它在图像去噪中可以克服离散正交小波变换去噪中存在的毛刺现象。
This article proposed a method to mark denoising threshold from study function of wavelet nerve network in order to improve performance of denoising to signals.
针对某一确定数据采集系统中小波去噪时的阈值选择，提出以小波神经网络加标准信号来标定去噪阈值的方法，从而提高对信号的去噪性能。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质，使用对角形式的阈值滤波器达到信号降噪的目的，这个方法在很多信号空间上是近似最优的。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
图像的消噪实验表明，小波变换用于图像消噪效果优于均值滤波，与中值滤波去噪相比无明显差别。
In view of the welding image feature of strong noise and poor stability, a fuzzy detection algorithm of welding image based on wavelet and morphology denoising was presented.
针对焊接图像噪声大、稳定性差的特点，提出了一种基于小波降噪和形态学模糊检测的算法。
The time frequency information of pressure in closed bomb is gained by using wavelet. Application of wavelet in the trend detection and signal denoising is discussed.
利用小波变换提取了密闭爆发器压力信号的时频特征，讨论了小波在压力信号趋势检测和信号去噪方面的应用。
Combining the advantages of median filtering and wavelet transform in denoising salt and pepper and gauss noise, bring up a sort of mixing denoise algorithm, and analyze the critical steps on detail.
结合中值滤波与小波去噪分别去除椒盐噪声和高斯噪声中的优势，提出了一种指纹图像混合去噪算法，并对其中的关键步骤进行了详细分析。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
Using the features of wavelet transform that can save detail image information, an image denoising method with the combination of nonlinear diffusion and wavelet transform was presented.
利用小波变换能够很好地保留图像细节信息的特点，提出了一种将非线性扩散方程和小波变换相结合的图像去噪方法。
The results show that the wavelet denoising method can effectively restrain the noise in friction and sudden unbalance signal, and reserve the fault character information in the signals.
结果表明：小波分析降噪方法能够有效抑制碰磨和突加不平衡信号中的噪声并保留故障特征信息。
The image denoising method is proposed based on dual tree complex wavelet transform, which can do better both in features preserving and noise removing.
将对偶树复小波变换应用于图像去噪，可以更好地表示图像的边缘和纹理特征，从而得到较小波更好的去噪效果。
By Analysing speech signal and conventional denoising method of threshold, a new mult-threshold based on wavelet transform method of speech signal denoising is proposed.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
Aiming at the disadvantages of traditional soft and hard threshold methods for wavelet threshold denoising, the new developed extracting threshold denoising method is proposed.
针对小波阈值去噪方法中传统软硬阈值法各自存在的缺点，提出了开方法阈值去噪法。
Filtering signal in the wavelet domain, by the frequency components acceptable for ear from the original speech, is a simple and effective speech denoising method.
利用此特性对信号进行小波域滤波，可从加噪的语音中提取人耳所能接受的频率成份，是一种简单有效的语音去噪算法。
Wavelet analysis and wavelet denoising was applied to analyse the data of two dimensional correlation ir spectroscopy of traditional Chinese medicine for the first time in this article.
采用小波变换消噪技术首次应用到中药二维相关红外光谱的数据处理中。
A method of adaptive speech denoising based on orthogonal wavelet transform is proposed in this paper. This method can increase the convergence rate of the adaptive processing.
本文提出了一种基于正交小波变换的自适应语音消噪改进方法，这种方法可以提高自适应语音消噪过程的收敛速率。
This paper is mainly studied denoising of image. Denoising methods of image are introduced such as average method, morphological filtering, median filt ring and wavelet.
本文主要以图像除噪为研究对象，介绍了图像的降噪方法—平均值法、形态学滤波器、中值滤波器以及小波。
In this paper, the signal quality is improved via denoising in wavelet transformation domain, as a result the measuring error of stabilization precision is reduced.
本文利用小波变换对火炮误差角信号进行处理，改善了误差角信号的质量，有效减小了稳定精度的测量误差。
In this paper, the signal quality is improved via denoising in wavelet transformation domain, as a result the measuring error of stabilization precision is reduced.
本文利用小波变换对火炮误差角信号进行处理，改善了误差角信号的质量，有效减小了稳定精度的测量误差。
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