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- A wavelet threshold denoising algorithm is effective for denoising the white noise in image. 摘要小波阈值去噪算法是去除图像信号中白噪声的有效算法。
- The key of wavelet thresholding denoise is constructing thresholding function and selecting thresholding,this paper improves from two sides respectively. 小波阈值去噪的关键是阈值函数的构造和阈值的选取,文中从两个方面分别进行改进。
- Based on the theory of wavelet analysis combined with wavelet threshold denoising algorithm, an effective method for separating noise is presented. 摘要介绍了以小波分析理论为基础，结合小波阈值去噪算法找到一种有效的噪声分离方法。
- The method of nonlinear wavelet threshold denoising can estimate the useful signal from the noisy so as to improve the resolving power and signal-to-noise ratio. 用非线性小波阈值的方法去除噪声，使有用信号能从噪声中检测出来，提高信号的分辨率、信噪比。
- To avoid the signal distortion aroused by the incorrect selection of threshold, it applies fuzzy theory into wavelet threshold denoising method, which uses two membership functions to construct two fuzzy threshold denoising methods. 为了避免由于阈值选取不当造成信号失真,将模糊理论引入到小波阈值去噪中,利用两个常用隶属函数构造了两种模糊阈值去噪方法。
- wavelet threshold denoise 小波阈值去噪
- Ringing Artifacts Reduction in Adaptive Wavelet Threshold Denoising 抑制震荡的自适应小波阈值去噪方法
- THE GOLDEN SECTION METHOD IN WAVELET THRESHOLD DENOISING 小波阈值去噪黄金分割法
- METHOD OF WAVELET THRESHOLD DENOISING BASED ON BAYESIAN ESTIMATION 基于贝叶斯估计的小波阈值图像降噪方法
- When the wavelet basis is bior 6.8 and the threshold method is sqwtolog,the effect of denoise quality with wavelet threshold method is the best one. 当小波基为bior 6.;8;sqtwolog阈值规则时;其消噪效果最优
- Wavelet threshold denoising via non-Gaussian distribution and context model 基于非高斯分布和上下文法模型的小波阈值去噪算法
- The Use Of Wavelet Threshold Denoising In the ECG Signals'Processing 小波阈值去噪技术在ECG信号处理中的应用
- Eliminating Spontaneous EEG from Evoked Potentials Via Whiten Filter and Wavelet Threshold Denoising 诱发电位中自发脑电的白化及去除
- Research on wavelet threshold denoising method of rtionalized Haar wvelet in smi-parametric rgression mode 半参数回归模型中的Haar有理小波去噪方法
- wavelet threshold denoising 小波阈值去噪
- The numerical experiments are made between the Wavelet Threshold De-noise（WTD） and the adaptive method based on EMD. 通过数值仿真,比较了提出的算法与小波域阈值去噪的性能。
- Methods:First,the method of wavelet threshold de-noising was applied to de-noise the EEG. 方法:首先采用小波软门限法去除脑电中的噪声,然后使用扩展独立分量分析算法去除脑电信号中的心电干扰。
- For the nonstationarity and spectrum chaos of the bearing vibration signal, threshold denoising based on wavelet decomposition was put forward. 针对轴承振动的非平稳性特点和频谱成分的混杂性，提出了基于小波的信号自适应阈值降噪法。
- A multi-scale threshold method in accordance with fixed wavelet threshold, and an improved method on wavelet wiener filter were proposed. 摘要针对固定小波阈值提出了多尺度阈值方法，对小波维纳滤波提出了改进方法。
- Wavelet packet is used for noise speech decomposition,which is better than the traditional orthogonal wavelet threshold de-noising method. 采用小波包对含噪语音进行分解,克服了传统的正交小波变换的缺陷。
