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scalar decomposition
相关语句
  常数分解
     Data compression and denoising using data adaptive scalar decomposition transform
     常数分解变换法及在数据压缩和消噪上的应用
短句来源
     Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.
     目的 研究常数分解变换法(SDT)及其在数据压缩和消噪上的应用。
短句来源
     Results The experiment results of discrete wavelet transform (DWT) and data adaptive scalar decomposition transform are given.
     结果 获得了常数分解变换法和小波分解变换法(DWT)进行数据压缩和消噪的实验结果。
短句来源
     Conclusion Compared with traditional method-discrete wavelet transform, the data adaptive scalar decomposition transform is more effective to one-dimensional data compression under some circumstances.
     结论 在一定条件下,对于一维数据的压缩和消噪,常数分解变换法优于小波分解变换法。
短句来源
  “scalar decomposition”译为未确定词的双语例句
     An effective method is proposed for analyzing through pressure signals the flame gasified combustion condition of an entrained flow gasifier. Under this method a scalar decomposition approach has been utilized to analyze furnace pressure time-domain signals.
     提出了一种通过压力信号分析气流床气化炉火焰气化燃烧状态的有效方法,该方法运用尺度分解法分析炉膛压力时域信号。
短句来源
  相似匹配句对
     G-decomposition of K_n(t)
     完全多部图K_n(t)的G-分解
短句来源
     Decomposition of Involutions
     对合的分解
短句来源
     Data compression and denoising using data adaptive scalar decomposition transform
     常数分解变换法及在数据压缩和消噪上的应用
短句来源
     Discussion on the definition of scalar
     关于标量定义的讨论
短句来源
     Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.
     目的 研究常数分解变换法(SDT)及其在数据压缩和消噪上的应用。
短句来源
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  scalar decomposition
The proposed decomposition may be considered as an extension of the scalar decomposition technique, which has already been used for the realization of two-dimensional digital filters associated with two-variable polynomials.
      


Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.Methods According to the principle of the data adaptive scalar decomposition transform,the idea of data compression and denoising using SDT is presented. An optimum algorithm of one-dimensional data compression and a simple method of extending it to two-dimensional signals are provided.Results The experiment results of discrete wavelet transform (DWT) and data adaptive scalar...

Aim The data adaptive scalar decomposition transform (SDT) and its application in data compression and denoising are studied.Methods According to the principle of the data adaptive scalar decomposition transform,the idea of data compression and denoising using SDT is presented. An optimum algorithm of one-dimensional data compression and a simple method of extending it to two-dimensional signals are provided.Results The experiment results of discrete wavelet transform (DWT) and data adaptive scalar decomposition transform are given.Conclusion Compared with traditional method-discrete wavelet transform, the data adaptive scalar decomposition transform is more effective to one-dimensional data compression under some circumstances.

目的 研究常数分解变换法(SDT)及其在数据压缩和消噪上的应用。方法 在探讨常数分解变换法原理的基础上,提出了对一维数据进行有损压缩和消噪的思想,并给出了相应的优化算法以及将该算法拓展于二维信号的简单方法。结果 获得了常数分解变换法和小波分解变换法(DWT)进行数据压缩和消噪的实验结果。结论 在一定条件下,对于一维数据的压缩和消噪,常数分解变换法优于小波分解变换法。

An effective method is proposed for analyzing through pressure signals the flame gasified combustion condition of an entrained flow gasifier.Under this method a scalar decomposition approach has been utilized to analyze furnace pressure time-domain signals.A study has revealed that in a cold state prior to ignition there exists no characteristics frequency.Under the condition of ignition and flame-extinction the pressure signals experience a step change with the signals at 0 Hz being subjected to a relatively...

An effective method is proposed for analyzing through pressure signals the flame gasified combustion condition of an entrained flow gasifier.Under this method a scalar decomposition approach has been utilized to analyze furnace pressure time-domain signals.A study has revealed that in a cold state prior to ignition there exists no characteristics frequency.Under the condition of ignition and flame-extinction the pressure signals experience a step change with the signals at 0 Hz being subjected to a relatively great shock.In time of flame intensive fluctuations there exists a characteristic frequency of about 2 Hz.With the flame in a stable combustion state there will be a characteristic frequency of about 40 Hz.The above phenomenon indicates that within a certain range of frequencies the pressure signal distribution is closely related to the flame combustion condition in the gasified furnace.With the strengthening of flame combustion stability the pressure signals will shift in the direction of higher frequencies.

提出了一种通过压力信号分析气流床气化炉火焰气化燃烧状态的有效方法,该方法运用尺度分解法分析炉膛压力时域信号。研究结果发现:在点火前冷态,没有特征频率存在;在点火和灭火状态下,压力信号有一阶跃变化,信号在0 Hz处有一较大的冲击;火焰剧烈波动时,存在2 Hz左右的特征频率;火焰稳定燃烧时,存在着一个40 Hz左右的特征频率。这个现象表明,压力信号在一定频段内的分布与气化炉内火焰燃烧的状态密切相关,随着火焰燃烧稳定性加强,压力信号向高频方向移动。

 
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