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1)  variance of low frequency wavelet coefficients
小波低频系数方差
1.
Utilizing the self-learning and self-adaptive capabilities of CPN and with adaptively changing the length of segment,the relationship between the important characters of audio signals and embedded watermark was learned by using the variance of low frequency wavelet coefficients with strong stability as the input of CPN,to achieve the purpose of embedding watermark.
利用CPN自学习和自适应的特征,通过自适应改变段长的分段算法,选用具有较强稳定性的小波低频系数方差作为输入向量训练CPN,建立音频特征与水印信号的对应关系,以达到嵌入水印的目的。
2)  wavelet-coefficient standard deviation
小波系数标准方差
1.
The integration of two feature descriptors, wavelet-coefficient standard deviation of the approximation sub-image and M-band wavelet histogram, and their corresponding distance similarity measure functions are used to realize progressive retrieval of target texture image databases.
提出了一种基于多进制小波变换的渐进式纹理图像检索方法,纹理图像的特征通过多进制小波分解结果来描述,用低频子图小波系数标准方差和多进制小波直方图结合相应的相似性距离函数,实现目标图像数据库由粗到精的渐进式检索。
3)  low frequency square wave
低频方波
4)  low-frequency square-wave
低频方波
1.
A low-frequency square-wave DC/AC inverter and its control strategy;
一种低频方波DC/AC变换器及其控制
2.
Investigation of single-stage soft-switched DC/AC converter with low-frequency square-wave output;
低频方波输出的单级软开关DC/AC变换器的研究
3.
Summaries were made to the advantages and disadvantages and application of electronic ballast circuit topologies working in low-frequency square-wave.
综述了几种典型的低频方波电子镇流器电路拓扑的优缺点及应用,分析了一种基于半桥的两级低频方波电子镇流器的工作原理及控制方案。
5)  wavelet variance
小波方差
1.
The wavelet variance under the single scale is discussed,and in combining the information entropy in information theory with physical sense,the wavelet entropy under the multi-scale is introduced in this paper.
讨论了单一尺度下的小波方差,并结合信息论中信息熵的定义和物理意义,进一步引进了多尺度下的小波熵;分别以频率突变和幅度突变两种仿真信号为对象,分析了小波方差与小波熵在反映随机信号统计特征方面的特点;最后,以一类钻井信号为例,分别利用两种方法分析和提取了信号在强噪声环境下的脉冲特征。
2.
According to the properties of bias drift of optic gyro, the wavelet transform is used to study the wavelet variance of random process.
根据光学陀螺信号零漂移的频率特性,提出了利用小波变换所具有的时频局部化的优点对其随机过程进行小波方差分析。
3.
A long memory analysis method based on wavelet variance for time series was proposed.
提出了基于小波方差的时间序列长记忆性分析方法,用该方法对汇率波动序列进行了分析,得到了长记忆参数的精确值。
6)  wavelet coefficient direction-tree
小波系数方向树
补充资料:德国国家标准(见德国标准化学会、德国标准体系)


德国国家标准(见德国标准化学会、德国标准体系)
National Standards of Germany: see Deutsches Institut für Normung, DIN;standards system of Germany

  Oeguo Guol心日icozhun德国国家标准(Natio.吐S加Ln山切曲of Gen”旧ny)见德国标准化学会;德国标准体系。
  
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