提出一种基于优化多带复小波变换的MC-CDMA系统，研究了其在多径瑞利衰落下的性能。
We propose a MC-CDMA system based on the optimized multiband complex wavelet transform (MBCWT), investigate the system performance in multipath Rayleigh fading channel.
最后，在上面工作的基础上，提出了基于对偶数复小波域的图像的颜色和纹理特征的描述和提取方法。
Finally, based on the work of above, proposed a method of description and extraction image color and texture features in the dual tree complex wavelet transformation domain.
相位信息是电力系统的一个重要特征，正交或双正交的复小波是实时提取电力系统中相位信息的有力手段。
Phase information is one of emphasis characters in the power system orthogonal or biorthogonal complex wavelet is strong means to extract phase information in the power system in time.
研究结果表明：基于EWC阈值法的复小波变换能够有效地抑制GIS特高频PD信号中的周期性窄带干扰。
The results show that the EWC threshold method of complex wavelet transform can effectively suppress the periodic narrowband interference from GIS UHF PD signals.
将对偶树复小波变换应用于图像去噪，可以更好地表示图像的边缘和纹理特征，从而得到较小波更好的去噪效果。
The image denoising method is proposed based on dual tree complex wavelet transform, which can do better both in features preserving and noise removing.
充分利用双树复小波变换的旋转不变性、良好的方向选择性以及有限的冗余等优点，将其有效地应用于纹理特征提取过程中。
The excellent characteristics of rotation-invariance, good orientation selection and finite redundancy are fully utilized, and applied in texture feature extraction.
本文通过对复小波的研究发现复小波变换的相位信息能用于频率检测和谐波分析，提出了基于复小波变换相位信息的频率和谐波检测新算法。
A novel method is proposed in this paper by research on complex wavelet, in which phase information of complex wavelet transforms is used to detect frequency and harmonics.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
复值小波变换能准确分辨出信号中所包含的幅值信息和相位信息，因而，适用于电力系统的故障信号的检测。
Because complex wavelet transforms can exactly identify amplitude and phase information in signal to be dealt with, they are suitable for detection of fault signals in power system.
方法利用“虚拟盒计数法”方法采集血膜中的细胞分布数据信号，然后进行小波变换结合复倒谱分析方法处理。
Methods "Virtual Box count" method was used to collect blood cell membrane signals, which was subsequently processed using the wavelets transform combined with the complex cepstrum analysis method.
建议了一种基于复解析小波变换的瞬时频率分析齿轮故障振动信号的方法。 该方法将希尔伯特变换与小波变换相结合，具有自适应分析能力。
A method using transient frequency based on complex-analytical- wavelet-transform, which combines Hilbert transform with wavelet transform and possesses adaptive analytical ability, is proposed.
该方法构造的复值小波具有频率局部化性能好、取故障信号特征分量较准确的优点。
The complex wavelet functions constructed by means of this method have advantages of good performance in frequency localization and better veracity in extracting characteristic parts of signals.
该方法构造的复值小波具有频率局部化性能好、取故障信号特征分量较准确的优点。
The complex wavelet functions constructed by means of this method have advantages of good performance in frequency localization and better veracity in extracting characteristic parts of signals.
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