The phase space denoising is applied to speech enhancement.
将相空间降噪方法应用于语音增强之中。
The engineering image denoising is realized with MATLAB software system.
应用MATLAB软件系统实现工程图像的去噪。
Objective To find a method for denoising of ECG signals during spaceflight.
目的寻找适合载人航天需要的心电信号去噪方法。
The paper presents a Support Vector Machine (SVM) based image denoising approach.
提出了一种基于支持向量机进行图像去噪的方法。
This paper presents a total variation(TV) image denoising algorithm based on graph cut.
本文提出一种基于图割的全变差（TV）图像去噪算法。
So speech denoising becomes increasingly important to improve voice quality in noisy environments.
因此为了提高噪声环境下语音的质量，噪声消除不足变得日益重要。
Finally, the edge image is embedded into the smoothing image, and the final denoising image is gained.
最后，将边缘图像嵌入平滑图像中，得到去噪后的图像。
To achieve a good performance in this respect, a denoising algorithm has to adapt to image discontinuities.
为了实现良好的性能在这方面，去噪算法，以适应图像的不连续性。
This paper proposes a method of denoising by the use of jointing Bayes estimation and scale space filtering.
提出了一种贝叶斯估计和尺度空间滤波相结合的滤波方法。
It is composed of iris localization, iris normalization, iris image enhancement and denoising in image preprocessing.
虹膜图像的预处理包括虹膜图像的定位、归一化、增强和去噪。
It theoretically ensures that denoising method for Gaussian noise can also be used for Pulse noise and Possion noise.
这样就从理论上保证了对应于高斯白噪声的阈值去噪方法同样适用于脉冲噪声和泊松噪声。
The signal denoising is a method for filtering the high-frequency noise of the signal and makes the signal more precise.
信号降噪是指滤除信号的高频噪声从而使信号尽量接近真实值，这是信号处理的关键环节。
Conclusion The method is efficiently to denoising speckle noises and reserving edge details in medical ultrasonic image.
结论该方法可有效保留细节信号，极大限度地去除斑纹噪声。
Compared with the traditional threshold functions, the improved one was more advantageous in ultrasonic signal denoising.
相对于经典的阈值函数，改进的阈值函数在超声信号去噪中更具有优势。
Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.
目的研究常数分解变换法(SDT)及其在数据压缩和消噪上的应用。
In view of denoising salt-pepper noise, a weighted mean filter based on decomposition of histograms is proposed in this thesis.
本文针对图像椒盐噪声的去除，提出一种基于直方图分解的加权均值滤波器。
The experiment shows that image denoising using the robust local threshold performs better than that using the universal threshold.
用均方差衡量去噪性能，实验表明用鲁棒局部阈值去噪法好于全局阈值去噪法。
Image denoising is an important foundation for advanced image processing, and is the hot research area in digital image processing.
图像去噪是对图像进行高级处理的重要基础，已经成为当今数字图像处理的热门领域之一。
To identify the noise types of ct image, corresponding method was used to improve the effect of image denoising, reduce the blindness.
对CT图像噪声的类型进行识别，采用相适应的去噪方法提高图像去噪效果，减少去噪中的盲目性。
And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.
并在此基础上确定了自适应阈值计算方法，建立了新的阈值去噪法，可用于去除相干噪声。
In view of denoising salt-pepper noise, a adaptive weighted mean filter based on decomposition of histograms is proposed in this thesis.
本文针对图像椒盐噪声的去除，提出一种基于直方图分解的自适应加权均值滤波器。
Based on the theory of airacoutics, the mechanism of denoising of cross_flow fan and the modulation of unequal spaced blades is discussed.
从气动声学理论出发，探讨了贯流式风机气动噪声机理及不等节距叶片频率调制降噪的机理。
Median filter is a common denoising algorithm. This paper proposes a new adaptive weighted algorithm based on the slope of the curved liner.
中值滤波是常用的降噪算法，本文提出了一种基于窗口拟合曲线的斜率信息的自适应加权算法。
This method is proved by experimental results to have higher computering speed and better denoising performance than traditional segmentation.
实验结果证明该方法与传统的图像最大熵分割方法相比，有远算速度快、抗噪能力强的优点。
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。
In image denoising, traditional low-pass methods can suppress high frequency noise, at the same time they can destroy image details unsatisfactory.
在图像滤波方面，传统的低通滤波方法在滤除图像高频成分的同时，破坏了图像的某些细节。
How to construct a denoising algorithm which decreasing noise and keep image detail is always research object of scientists in image processing world.
如何构造一种既能够降低图像噪声，又能够保持图像细节的去噪方法，一直是图像处理领域中理论和实践工作者的研究目标。
How to construct a denoising algorithm which decreasing noise and keep image detail is always research object of scientists in image processing world.
如何构造一种既能够降低图像噪声，又能够保持图像细节的去噪方法，一直是图像处理领域中理论和实践工作者的研究目标。
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