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Denoising

网络去噪；去噪声；小波去噪

Denoising

网络释义

Denoising

去噪

图像去噪（Denoising）或降噪（NoiseReduction）指的是利用各种滤波模型，通过多点平滑等方法从已知的含有噪声的图像 …

去噪声

十三小波变换_生物医学图像处理：小波变换... ... Multiresolution analysis, 多分辨率分析 Denoising, 去噪声 Fractal, 分形 ...

小波去噪

20 世纪 90 年代初期，在文献中开始出现小波去噪(denoising) [8] 及降噪(noise reduction) [3,9] 的概念及提法。事实上，随着小 …

噪声去除

去声,falling... ... ) noise reduction 噪声去除 ) denoising 噪声去除 ) denoising strong noise 去强噪声 ...

除噪

除噪音,denoising,在线英语词典,英文翻译,专... ... ) denoising 除噪音 ) denoising 除噪 ) Denoise 除噪 ...

噪声抑制

混合噪声抑制,mixed noise... ... ) mixed noise suppression 混合噪声抑制 ) Denoising 噪声抑制 ) noise suppression 噪声抑制 ...

例句：

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。

The simulation result shows that the best wavelet denoising threshold parameter can be chosen effectively by this algorithm .

计算机仿真结果表明，该算法可稳定有效地选取最优的去噪阈值参数。

The results show that this method can obtain good denoising performance .

仿真实验表明，该方法可得到很好的滤波效果。

Simulation result shows that the empirical mode decomposition method is at an advantage when denoising and improving SNR.

实验结果显示，使用经验模态分解方法在去除噪声，提高信噪比方面具有优越性。

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。

The application of this scheme reduces the computational complexity in the iterative process and improves the efficiency of the denoising .

该格式的应用减少了迭代过程中的计算量，提高了去噪效率。

The cause of the noise effect is theoretically analyzed. The denoising suggestion is proposed for the loads identification .

理论上讨论这种噪声影响的原因，对荷载识别的减噪措施提出参考建议。

Wavelet denoising is one of the important application aspects .

小波去噪是小波变换的重要应用领域之一。

The denoising compressor is applied to the automotive air conditioner compressors with variable displacement .

本发明应用于可变排量的汽车空调压缩机。

To PSNR and PMSE as the criterion , the wavelet algorithm with the traditional approach of denoising algorithm for comparison and conclusion .

以 PSNR 和 PMSE 作为评价标准，将小波算法与传统的图像去噪算法作方针对比并得出结论。

The proposed algorithm is applied to denoising DNA microarray images with birth defect and compared with other conventional methods .

最后将该算法应用于出生缺陷的基因芯片噪声处理，并与其他几种去噪方法做了对比。

The denoising of a natural image corrupted by Gaussian noise is a classical problem in image processing .

如何去除自然图像中的高斯白噪声是图像处理中的一个经典问题。

Wavelet denoising technique was used to remove noise , and it improved the monitoring of the echo signal-to-noise ratio .

采用小波域去噪理论去除噪声，提高了检测回波的信噪比。

The denoising effect of original and improved algorithms is also compared using processing results of a standard test image .

用标准测试图像的处理结果来比较改进前后两种算法的效果。

The imitation embodies that the smaller that index is, namely , the smaller BSS is, the better denoising effect is.

仿真结果表明，该指数越小，即信号波形震荡幅度越小，消噪的效果越好。

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