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the wavelet transformation
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  小波变换
     From the angle of the engineering and experimentation in the MATLAB,the paper have discussed the application of image compression based on the wavelet transformation.
     该文试图基于MATLAB数学分析工具环境下从工程和实验角度出发,较为直观地探讨了小波变换在图像压缩中的应用。
短句来源
     Application of the Wavelet Transformation in the MEMS Gyroscope De-Noise
     小波变换在MEMS陀螺仪去噪声中的应用
短句来源
     Based on the self-similarity characteristics of the wavelet bases and the decorrelative capacity of the wavelet transformation, the discrete wavelet coefficients of 1/f processes with self-similar properties are analyzed and the wavelet model of 1/f processes is given in combination with the correlative structure of AR model.
     利用小波基函数的自相似特性和正交小波变换的去相关能力 ,分析了具有自相似性的 1 /f过程的小波变换系数的特点 ,并结合AR模型的相关函数结构给出了 1 /f过程的小波模型。
短句来源
     According to the wavelet transformation theory, a diagnose method for helicopters is established, including the order number of the wavelet decomposition and reconstruction, the noise signal decomposition, the separate signal reconstruction and 1/3 times frequency calculation.
     首次开展直升机声疲劳源的诊断工作 ,基于小波变换原理 ,建立了直升机声疲劳源的诊断方法与技术 ,它包含小波分解与重构阶数的确定、噪声信号分解、分解信号重构以及分离信号的 1 3倍频程计算等方面内容 .
短句来源
     This article take the modern signal processing technology as a foundation, proposed withdraws the method based on the wavelet transformation and the double spectrum radar target characteristic;
     本文以现代信号处理技术为基础,提出了基于小波变换和双谱的雷达目标特征提取方法;
短句来源
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  小波变换的
     Wavelet is introduced to the estimation of the Long Memory Stochastic Volatility(LMSV)model,and the wavelet transformation based estimation method of parameters and volatility process is proposed on the bases of the wavelet analysis results of ARFIMA process.
     根据ARFIMA过程的小波分析结果,将小波引入到长记忆随机波动(Long Memory Stochastic Volatility)LMSV模型的估计中,提出了基于小波变换的LMSV模型的参数估计和潜在波动过程的估计方法。
短句来源
     2—D IMAGE ANALYSIS BASED ON THE WAVELET TRANSFORMATION
     基于小波变换的2D形状分析
短句来源
     The wavelet transformation method was introduced into the design of a set of infra image processor based on the parallel operation of the TMS320F206 DSP.
     以TMS320F206DSP为基础,采用小波变换的方法,设计了一套红外图像处理器。
     Based on the self-similarity characteristics of the wavelet bases and the decorrelative capacity of the wavelet transformation, the discrete wavelet coefficients of 1/f processes with self-similar properties are analyzed and the wavelet model of 1/f processes is given in combination with the correlative structure of AR model.
     利用小波基函数的自相似特性和正交小波变换的去相关能力 ,分析了具有自相似性的 1 /f过程的小波变换系数的特点 ,并结合AR模型的相关函数结构给出了 1 /f过程的小波模型。
短句来源
     Online Recognition of Roller Surface Defect Based on the Wavelet Transformation
     基于小波变换的轧辊表面缺陷在线识别
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  “the wavelet transformation”译为未确定词的双语例句
     Signal Filtering Algorithm Based on the Wavelet Transformation
     基于子波分解的信号滤波算法
短句来源
     Application of the Wavelet Transformation to the Sound Emitting Location System of Composite Material
     子波变换在复合材料损伤声发射定位系统中的应用
短句来源
     Then it analyzes the auditory model of human, deeply analyzes and researches the traditional speech feature parameter MFCC, and proposes three improved MFCC parameters based on the wavelet transformation and the auditory characteristic of human.
     论文首先介绍了传统的语音特征参数MFCC,它是基于人耳听觉特性设计的一种特征参数,在静音环境下能得到较高的识别率,但在信噪比较低时识别率急剧下降,不利于实用化。
短句来源
     The wavelet transformation on the Electrochemical Noise in SSRT Tests of X-42 Steel in Sodium Carbonate-Bicarbonate Solution
     X-42钢在碳酸钠-碳酸氢钠溶液中慢拉伸时电化学噪音信号的小波分析
短句来源
     The wavelet transformation methods were applied to 8 a(1993~2000) TOPEX/Poseidon data set to investigate the multiple time-scale variability of sea surface height (SSH) in the northeastern South China Sea (SCS).
     利用8a的TOPEX/Poseidon高度计资料,采用小波分析方法,研究南海东北部海域海面高度的多尺度变异.
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  the wavelet transformation
Using a morphological interpolation, we derive a pyramid-like structure to decompose a signal into gross and fine information components, at different scales, just as in the wavelet transformation.
      
Frequency-time cross analysis was used to analyze nonstationary signals due to a leak, and the wavelet transformation was used to single out the envelopes corresponding to different spectral components of the signal.
      
Detection of life-threatening cardiac arrhythmias using the wavelet transformation
      
Because of its quasi-locality in both physical-space and Fourier space, the wavelet transformation allows one to track the time evolution of the various scales in both acoustic and velocity fluctuation signals.
      
The wavelet transformation (WT) of a function y=f(x) with a wavelet of the nth order approximates the nth derivative of the function except for a constant scaling factor and a frequency-dependent phase shift.
      
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The mutual relation between the wavelet transformation , the Marr Hidreth filter and later- al inhibition of the nervous network is made clear. A comparison is made between the specific features of two methods of edge detection , the optimal detector method and the adaptive smoothing one. A concrete approach to determining the zero-crossing is given to eliminate the false edges . An algorithm based on a combination of the zero-crossing of the second derivative and a negative third derivative has been designed....

The mutual relation between the wavelet transformation , the Marr Hidreth filter and later- al inhibition of the nervous network is made clear. A comparison is made between the specific features of two methods of edge detection , the optimal detector method and the adaptive smoothing one. A concrete approach to determining the zero-crossing is given to eliminate the false edges . An algorithm based on a combination of the zero-crossing of the second derivative and a negative third derivative has been designed. The result of edge detection is found to be satisfactory.

明确了子波变换、Marr-Hidreth滤波器和神经网络侧抑制的相互关系,分析比较了优化法和自适应平滑法两种图像边缘检测方法的特性,就过零点检测给出了具体方案,为清除虚假过零点,设计了二阶导数过零与三阶导数小于零相结合的算法,取得了较好的边缘检测效果。

On the basis of normal ultrasonic NDT(Non Destructive Testing), the numerical signal analysis methods, the wavelet transformation, and the singularity analysis methods are used to characterize the weak signal reflected by friction welding defects from the large noise. The weak bonding defect, which can not be detected out using normal NDT methods, are detected out with the methods, and the precision of the detecting results to the other welding defects are increased with the methods. The characteristic...

On the basis of normal ultrasonic NDT(Non Destructive Testing), the numerical signal analysis methods, the wavelet transformation, and the singularity analysis methods are used to characterize the weak signal reflected by friction welding defects from the large noise. The weak bonding defect, which can not be detected out using normal NDT methods, are detected out with the methods, and the precision of the detecting results to the other welding defects are increased with the methods. The characteristic analysis method as well as a fuzzy analysis method are carried out to classify the friction welding defects effectively.

在常规超声波无损检测基础上,利用数字信号处理技术、小波变换方法,以及奇异性分析技术,从大的背景噪声中提取出了摩擦焊缺陷微弱信号。检测出目前利用常规无损检测方法不能检测出的弱接合缺陷,并提高了检测其他焊接缺陷的精度。进而运用特征参量分析方法和模糊分析方法,准确有效地对摩擦焊缺陷进行识别和分类。

A novel adaptive noise reduction method for chaotic signals based on wavelet reconstruction and fractal theory is presented. Compared with traditional methods and wavelet filtration method, the property of the method is: the actual fractal dimension of chaotic signal with noises is estimated by the wavelet transformation, and then the wavelet reconstruction parameter can be controlled in accordance with the deviation of the observed sequence dimension from the actual dimension to construct an adaptive...

A novel adaptive noise reduction method for chaotic signals based on wavelet reconstruction and fractal theory is presented. Compared with traditional methods and wavelet filtration method, the property of the method is: the actual fractal dimension of chaotic signal with noises is estimated by the wavelet transformation, and then the wavelet reconstruction parameter can be controlled in accordance with the deviation of the observed sequence dimension from the actual dimension to construct an adaptive filter structure. The simulation results demonstrate that the algorithm is fairly good in performance.

提出一种分维数和子波重构相结合的混沌信号与噪声分离方法,与以往出现的子波滤波方法和经典滤波方法相比较,该方法有如下特点:利用子波变换计算带观测噪声混沌信号的真实分数维,进而根据观测序列维数与真实维数的差值控制子波重构的参数,构造出混沌与噪声分离的自适应滤波器结构。仿真实验说明了该算法的有效性。

 
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