实验结果表明该方法得到的融合图像优于传统的IHS变换法和传统小波变换方法。
Experimental comparisons show that the method proposed is better than traditional IHS and wavelet transform fusion method in preserving spatial resolution and spectral component.
多小波可以同时具有对称性、正交性、短支撑性、高阶消失矩等性质，这是传统小波无法比拟的。
Multiwavelet can possess symmetry, orthogonality, short support and high order vanish moments, however traditional wavelet cannot possess all these properties at the same time.
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
文中的大量实验结果表明，小波变换同传统的DCT变换相比较有很大的优越性，在视频压缩中也必将取得更广泛的应用。
Many results show a fact that, compared with traditional DCT transform, wavelet transform has a great advantage, and it will surely be broadly used in video compression.
用阿拉伯和苏菲派（Sufi）传统音乐专家朱力安.贾拉尔.艾迪恩.韦斯（Julien Jalal Eddine Weiss）的话来说，其效果就像是“用非洲的邦哥小对鼓（亦称曼波鼓）来演奏莫扎特的奏鸣曲”那样。
The result, according to Julien Jalal Eddine Weiss, an expert on classical Arab and Sufi music, was like “using African bongos in a Mozart sonata”.
实验结果表明，以FP - GA来实现基于小波变换的图像去噪方法与传统方法相比，在速度方面得到了很大的提高。
The experiments show that compared with traditional method which using wavelet for image de-noising, the method based on FPGA has a great improvement in speed.
应用实例表明，小波技术与传统信号处理方法相结合可以更有效地进行声源检测与故障诊断。
The applying instance shows that the combining of traditional signal processing methods with wavelet conversion theory is more effective in the noise sources detection and fault diagnosis.
并将该方法与传统快速傅立叶变换分析结果进行比较，探讨了使用小波变换对工程实测数据进行分析的可行性。
The method is compared to the traditional FFT(Fast Fourier Transformation)analysis. The feasibility of analyzing the engineering measure data using wavelet transformation is discussed in this paper.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
By Analysing speech signal and conventional denoising method of threshold, a new mult-threshold based on wavelet transform method of speech signal denoising is proposed.
在新控制算法中，除了在传统算法基础上增加了状态补偿外，还引用了小波变换来对跟踪误差进行了滤波而没有相位补偿。
The new learning control rule not only incorporated a state compensation in the conventional ILC formula but also adopted the wavelet transform to filter learnable tracking errors without phase shift.
在新控制算法中，除了在传统算法基础上增加了状态补偿外，还引用了小波变换来对跟踪误差进行了滤波而没有相位补偿。
The new learning control rule not only incorporates a state compensation in the conventional ILC formula, but also adopts the wavelet transform to filter learnable tracking errors without phase shift.
提出一种应用小波神经网络进行动态实时调整传统电力系统稳定器参数的设计方法。
This paper presents a new approach for real-time tuning the parameters of a conventional power system stabilizer using the wavelet neural network, which is used to design the stabilizer.
针对传统语音识别系统识别率较低的问题，提出了一种基于小波变换和进化算法的改进方法。
To the problem of lower recognition rate of traditional speech recognition system, this paper presents an improved method based on wavelet transform and evolutionary algorithm.
本论文重点介绍了几种传统的图像增强方法，详细介绍了一种基于小波变换的图像增强方法的算法。
This paper focuses on several traditional methods of image enhancement. And a method of image enhancement based on wavelet transform has been introduced in detail.
算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。
In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.
针对小波阈值去噪方法中传统软硬阈值法各自存在的缺点，提出了开方法阈值去噪法。
Aiming at the disadvantages of traditional soft and hard threshold methods for wavelet threshold denoising, the new developed extracting threshold denoising method is proposed.
传统的小波增强算法应用于光照不足或不均匀的图像时处理效果一般，针对该问题提出了基于小波变换的图像增强新算法。
Traditional wavelet-based algorithm has a common effect on the images of light nonuniformity and scarcity. Aiming at the shortcoming, a new wavelet-based algorithm for image enhancement was proposed.
与传统的JPEG标准相比，JPEG2000标准采用了离散小波变换、内嵌编码等技术，从而具有了渐进传输、感兴趣区域压缩、抗误码等新特性。
Compared with the JPEG standard, JPEG2000 standard adopts some different compress technique, such as the Discrete Wavelet Transform, Embedded Coding and so on.
与传统金字塔方法相比较，基于小波变换的融合算法能够很好地保持图像的信息，提取源图像信息的能力更强，具有广阔的应用前景。
Compared with the traditional pyramid decomposition, the fusion scheme based on wavelet is more capable to retain and pick up image information and has a greater application potential.
结果表明，小波神经网络方法比传统BP网络方法平均预测误差减小了1%，收敛速度加快了3倍。
It is shown that, compared with the results from traditional BP neural network, the average error rate is reduced by 1% and the convergence speed raised by 3 times.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
传统的小波变换基频检测通过比较相邻尺度上的小波系数极值点来进行检测。
The traditional pitch detection algorithm based on wavelet transform extracts the fundamental frequency by comparing the positions of maximum wavelet coefficients of continuous scales.
并选择了9/7-F、9/7-M和5/3三种传统用于图像压缩的小波来用提升方法实现从整数到整数的小波，为后面进一步研究系数编码做好准备。
Then, the 9/7-F, 9/7-M and 5/3 wavelets which use generally in image compression, are selected for factoring them into lifting steps so as to study the coefficients coding.
该结构采用了递归金字塔算法（RPA）取代传统的PA算法。只用一组滤波器即可完成所有级别的小波运算。
The proposed architecture adopt recursive pyramid algorithm(RPA)instead of the classical pyramid algorithm(PA), only one low-pass filter and high-pass filter are required to compute all levels.
还指出由于当前的连续小波神经网络主要使用传统BP神经网络的随机初始化方法和基于梯度的训练算法，因此存在收敛性差的缺点。
It is also indicated that current WNN has a poor convergence performance because of adopting the random initialization method and gradient training algorithm of traditional BP NET.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
This paper introduces the application of wavelet transformation in speech signal denoising, describes in detail the method of soft threshold and hard threshold and points out their disadvantages.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
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