小波包基的英文

• wavelet packet basis

• "小"英文翻译    small; little; petty; minor
• "波包"英文翻译    wave packet; pack; package
• "基"英文翻译    base; foundation
• "小波包分解" 英文翻译 :    wavelet packet decomposition
• "波包" 英文翻译 :    [物理学] wave packet; pack; package◇波包收缩 wave packet reduction
• "小波" 英文翻译 :    small echo; small wave; wavelet
• "耶包基" 英文翻译 :    yebaukgyi
• "波包封" 英文翻译 :    envelope of wave
• "波包络" 英文翻译 :    wave envelope
• "波包群" 英文翻译 :    group of wave packets
• "包基本流" 英文翻译 :    pes packet elementary stream
• "包基耶罗" 英文翻译 :    bauchiero
• "承包基数" 英文翻译 :    the base quota of a contract
• "打包基本流" 英文翻译 :    pes packet elementary stream; pes packetized elementary stream
• "haar小波" 英文翻译 :    haar transform
• "陈小波" 英文翻译 :    xiao-bo chen
• "李小波" 英文翻译 :    xiaobo li
• "刘小波" 英文翻译 :    xiao-bo liu
• "罗小波" 英文翻译 :    lou xiaobo
• "母小波" 英文翻译 :    mother wavelet
• "王小波" 英文翻译 :    wang xiaobo
• "小波波" 英文翻译 :    little popo
• "小波基" 英文翻译 :    wavelet basis
• "小波兰" 英文翻译 :    malopolska
• "小波浪" 英文翻译 :    rips

• Signal denoising algorithm and its application based on best wavelet packet basis
  基于最优小波包基的信号去噪算法及其应用
• A method for denoising and suppressing clutter based on best tree wavelet packet analysis is developed
  提出基于最优小波包基的非线性滤波法进行杂波抑制。
• When combined these methods together , we can get a better result , e . g . integration of wavelet packet analysis with image processing , can make the wavelet packet analysis even more robust
  多种处理方法集成，如基于最优小波包基方法和图象分析方法相结合等，对于信号提取将获得更好的结果。
• The method directly executes wavelet packet decomposition of handwriting texture using wavelet packet basis db6 at scaling 3 in 2d space , then reconstructs the decomposition coefficient of 15 wavelet packet best basis which are took by shannon entropy cost function
  该方法直接在二维空间上由db6小波包基对笔迹纹理实施3尺度小波包分解，再在由以香农熵为代价函数提取得到的15个小波包最好基处对分解系数实行重构。
• We put forward an adapted wavelet packet transform method - - adapted wavelet packet transform based on r - d rule which selects the best wavelet packet base according to r - d rule , in which best quantization method and huffman coding are used . this method produces the best compression version such that the error upon reconstruction is within an upper bound fixed a given value and obtains satisfactory compression results
  这种方法依据r - d准则优选出最佳小波包基，在优选过程中，用到了最佳量化法和霍夫曼编码，从而保证了在给定的失真内使得压缩比做的最高，取得了比较满意的效果，为将来在dsp上实时的实现做好了铺垫。
• In addition , the choice of best multiwavelet packet base is discussed and computed . considering the shortage of common de - noising algorithm of multiwavelets , a kind of new algorithm is proposed and applied , which is based on adaptive shrinkage value . in the end , a kind of new multiwavelet data compression plan based on best pre - processing method is proposed , and corresponding validity and feasibility are validated through simulations
  另外，探讨了最优多小波包基的选择问题；针对目前基于多小波信号去噪方法存在的问题，提出一种基于自适应阈值的多小波信号去噪方法，并用于电力系统故障暂态信号去噪；提出了一种基于最优预处理方法的多小波故障暂态数据压缩方案，实际仿真结果验证了这些算法的可行性和有效性。
• With the support of hardware devices such as dsp chip , this arithmetic has effective application on complicated practice source coding . this paper alse applies wavelet to multicarrier modem / demodem transfer . the use of the induced wavelet package improves this arithmetic to search best wavelet package basis , and boosts up the support to multirate
  本文同时应用小波变换到多载波调制解调传输方面,通过推导出诱导小波包,改进最优小波包基搜索算法,增强了对多码率业务的支持性,在多载波传输系统中,是有效的提高信干比的方法。
• In this paper , eliminating the periodic narrowband noise with wavelet packet has been put forward . the periodic narrowband noise eliminating method has been proposed that has the optimal wavelet packet base . the instances show that this approach can eliminate the periodic noise of pd signal , and its dose not need set the external parameters
  通过分析周期性干扰和局部放电信号的小波包分解特性，采用了最优小波包基来剔除周期性干扰，实例证明能够很好的剔除局部放电信号中的周期性干扰，并且不需要外部参数设定。
• In term of this theory , we decompose some simulate signal and pipeline mfl signal by wavelet package transform . then select the best wavelet package base out of the decomposed coefficient and figure the brickwork of the best base on the relevant position in time - frequency plane showing the strong or weak of every coefficient . as a result , the time - frequency structure of signal analyzed is relatively visually represented ; that is to say , an anticipative result achieves
  按照这一理论，我们对一些模拟信号和管道漏磁信号作了小波包分解，然后从中选出最优小波包基，再把被选中的小波包基的相应砌块表示在时?频相平面上的相应位置上，并用灰度级别表示这个分量权重的强弱，结果较形象地把被分析信号的时?频结构表现出来，达到了预期的目的。