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- Analysis of the Errors in Locally Adaptive Wavelet Domain Wiener Filter and Image Denoising 小波域局部维纳滤波器估计误差分析及图像去噪
- Application of wavelet domain Wiener filtering analysis to noise elimination in star-image denoising 小波域中的维纳滤波法在星图降噪中的应用
- Application of Wiener filter based wavelet domain in functional magnetic resonance imaging 小波域Wiener滤波方法及其在功能磁共振成像中的应用
- An iterative algorithm for Wiener filtering in wavelet domain 一种迭代小波域维纳滤波算法
- Image restoration using frequency- domain regularized inversion and wavelet- domain wiener filtering 频域正则求逆小波域维纳滤波图像复原
- 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。
- A new de-noising method based on wavelet domain median filter is proposes, which is effective for removing Gaussian white and impulse noises. 摘要提出了小波域中值滤波的去噪方法，在去除高斯白噪声的同时能有效地去除脉冲噪声。
- At first, the de-noising pretreatment was carried out for image signal through the transcendental Wiener filter in wavelet field. 先通过小波域上的先验维纳滤波器对图像信号进行去噪预处理。
- But the Wiener filter is optimal for any space in the sense of MSE. 但是对于任意信号 ,在MSE意义上最优的信号估计是Wiener滤波器。
- Firstly calculate the absolution of the source speech signal, then analyze the absoluted signal in the dyadic wavelet domain. 首先对原始语音信号取绝对值，然后对其进行小波变换，认为8阶小波变换绝对值的极大值点对应于原始语音的音素分段点。
- Therefore, an algorithm of PD signal reconstruction based on modulus maximum wavelet domain is presented in this paper. 为此,该文提出一种基于模极大值小波域的局部放电信号重构算法。
- The post-processing can be carried out by adaptive Wiener filtering followed subband hard threshold in contourlet domain. 并在轮廓波域进行子带硬阈值处理之后，使用自适应维纳滤波进行后处理。
- This paper presents a blind watermarking scheme baaed on the visual perceptual model in wavelet domain. 摘要提出了一种基于视觉感知模型的小波域图像盲水印方案。
- A adaptive watermarking scheme based on quadtree-split in the wavelet domain is proposed in this paper. 摘要文章提出了一种基于四叉树分割的小波域自适应水印方案。
- The frequency response of the Wiener filter isderived through minimisation of mean square error in the frequencydomain. 熏肉香肠过滤器的频率特性是获得通过均方错误的低估在频率领域。
- A wavelet domain Indicator of the local spatial activity achieved the adaption to the spatial context in the image. 使用具有局部空间活跃性的小波域标记能达到对图像空间上下文关系的适应。
- In this paper the Multi-Stage Wiener Filter (MSWF) is presented for the DOA estimation of ocean currents. 该文提出基于多级维纳滤波(MSWF)降维技术的海面洋流方位估计方法。
- We give the implementation of SRIW in Wavelet Domain for exemplifying it and propose the special evaluation of SRIW. 以小波域为例给出了SRIW实现方法，提出了SRIW特有的评价标准。
- An audio watermarking algorithm based on mean quantization in the wavelet domain is presented. 摘要提出了一种均值量化的小波域数字音频水印算法。
- In the first stage of Wiener filtering,the noisy image is decomposed by SWT.Then,the signal variances of wavelet coefficients are estimated in the elliptic windows. 在第一次局部维纳滤波中,用静态小波变换对含噪图像进行分解,然后利用椭圆方向窗来估计不同方向子带的各点信号的方差;
