在这篇文章中，我们提出了一种方法，根据该协会的平稳小波变换（SWT）与人工神经网络（ANN）的交通时间序列的预测。我们专注于质量比较使用不同的配置，人工神经网络预测得到。
基于62个网页-相关网页
This paper proposes using wavelet modulus maxima de-noising method. Image containing noise is took discrete stationary wavelet transform,the noise standard deviation is estimated,changes in the form of Bayes-shrink threshold,and gets de-noising threshold formula.
提出利用小波模极大值进行图像消噪方法,对含噪声图像进行离散平稳小波变换和噪声标准差的估计,在Bayes-shrink阈值计算的基础上,得到消噪的阈值计算公式。
参考来源 - 小波模极大值在图像消噪中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
由于小波变换有效地克服了傅氏变换在处理非平稳的复杂信号时所存在的局限性，因而在图像与信号处理领域受到了广泛的重视。
Due to wavelet transforms efficiently overcoming the limitations of Fourier transform in dealing with unstable and complicated signal, they are popular in image compression and signal processing.
应用推荐