并在小波去噪的基础上，在现有的硬件软件平台上，设计实现了适合日常化运作的语音自动合成软件。
Wavelet de-noising system based on the existing hardware and software platform, designed and implemented for the daily operation of automatic speech synthesis software.
利用小波良好的去噪性能，选择了合适的参数对越野吉普车BJ2020S实验测量信号进行小波去噪。
It is an effective method to reduce the noise in signal by wavelet, and proper parameters are selected to reduce the noise in test signal of BJ2020S road-off jeep in this paper.
在数据处理过程中，对微分光谱数据进行了小波去噪处理，使信噪比得到了增加，从而使分析精度得到了改善。
In data processing, the wavelet analysis was used for the differential spectral data, so the noise was reduced and the precision of analysis was improved.
目前的小波去噪绝大多数都是基于阈值决策的方法，而阈值选择往往都是建立在对信号小波变换系数的方差估计上。
The present method for noise reduction with wavelet transform is based on the thresholding method and threshold selection will depend on the estimation of the noise standard deviation.
图像的平移不变量小波去噪法是小波收缩阈值去噪法的改进，能够有效抑制小波阈值去噪过程中出现的伪吉布斯现象。
Translation invariant(TI)wavelet de-noising method is an improved method of wavelet thresholding shrinks; it can suppress Pseudo-Gibbs artifacts effectively.
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.
在讨论二维二进可分离小波及图像小波去噪的基础上，研究一种基于小波变换并结合其他多种图像处理方法的车牌图像检测定位的算法。
This thesis presents a new algorithm on the detection and orientation of vehicle license plate based on planar and binary wavelet, integrated with many other im age processing methods.
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。
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.
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。
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.
针对强噪声背景中的弱信号检测问题，在经典随机共振处理方法的基础上，利用小波良好的去噪特点，提出了随机共振加小波去噪检测弱信号的新方法。
Concerning the detection of weak signal in stronger noise background, a novel method was proposed in terms of stochastic resonance processing and by using the better de-noise feature of wavelet.
针对核电站中检测跌落零件误报警率高的问题，本文对带通滤波后的跌落零件冲击信号应用了基于统计特征的小波去噪方法，并给出了去噪后的跌落零件报警方法。
In order to improve the alarm accuracy rate in nuclear power station, this paper adopts Wavelet De noising (WD) method based on statistic characteristics and presents a loose parts alarm 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。
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.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
本文详细说明了应用GH M正交多小波对地震信号进行去噪处理的原理，并给出实际例子说明该方法的有效性。
The paper elaborated on the principle of noise suppression processing by using GHM orthogonal multi wavelets for seismic signal and gave real examples to show the effectiveness of the method.
提出了对传感器采集到的微弱信号进行累加平均和小波变换中的多分辨率分析方法相结合去噪。
The method that combine the cumulative average and multi-resolution analysis in wavelet transform was presented which can de-noise the weak signal collected from the sensor.
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。
The merit of both shift invariance and directional selectivity enables the complex wavelet to overcome the artifacts in the discrete orthonormal wavelet denoising.
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。
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.
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。
The image denoising method is proposed based on dual tree complex wavelet transform, which can do better both in features preserving and noise removing.
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.
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。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
由于小波变换在时域和频域上都具有良好的局部化特性，基于小波变换的去噪方法，可以达到从单次样本中提取视觉诱发电位的目的。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, a wavelet-based de-noise method is presented for extracting EPs in single trails.
实验结果表明，以FP - GA来实现基于小波变换的图像去噪方法与传统方法相比，在速度方面得到了很大的提高。
The experiments show that compared with traditional method which using wavelet for image de-noising, the method based on FPGA has a great improvement in speed.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
从小波分解技术的强大的去噪功能出发，提出了基于小波技术的监测数据前处理方法。
Wavelet decomposition technology has powerful removing noise function, and the preoperative methods based on the wavelet technology is applied for the monitoring data.
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.
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。
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.
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。
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.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
主要工作如下：1。提出了一种基于中值滤波与小波变换的指纹图像去噪方法。
The main contributions are summarized as follows:1. Proposed an integrated denoising algorithm based on mid-value filtering and wavelet transform of fingerprint image.
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