| 1. | Discuss the source of transformation analysis in chinese grammar
汉语语法变换分析的探源研究 |
| 2. | Spectrum analysis of heart sound signal based on hilbert - huang transform
心音信号小波变换分析研究 |
| 3. | Review on the study of chinese grammar transformations and their types
汉语语法变换分析与变换类型研究述评 |
| 4. | Analysis of nonlinear transformation in frequency offset estimation for qam signals
载波频偏估计的非线性变换分析 |
| 5. | Mechanical vibration and shock - signal processing - time domain windows for fourier transform analysis
机械振动和冲击.信号处理.傅里叶变换分析用时域窗 |
| 6. | So this paper is used wavelet transform method to analyze signals and extract features in them , then classify them by neutral network
为此本文采用了小波变换分析信号、提取特征值，并用神经网络对信号进行分类。 |
| 7. | The results of the simulation show that boundary conditions have some effect on bridge damage detection , but the damage forms have no effect on it
结果表明，用连续小波空间变换分析识别结构损伤的结果受一定边界条件的影响，而裂缝的形式对识别效果几乎没有产生影响。 |
| 8. | The computations of the signals were made on a computer in a matlab environment . the results of dwt can describe the character of the signal more concisely and more precisely than traditional fourier analysis
通过matlab仿真证明，小波变换分析结果不仅没有丢失原有信息，而且能够更加直观、准确地刻画信号的特性，提取信号的特征参量。 |
| 9. | As the wavelet transform possesses the properties of multi - scale analysis and the time - frequency local characteristic , it is particularly well adapted to process sharply changing signals and to extract characteristic of these signals
由于小波变换分析方法具有多尺度分析和时?频局部化特性，特别适合边缘和峰值突变信号的处理和特征提取。 |
| 10. | As the wavelet transform possesses the properties of multi - scale analysis and time - frequency domain localization , it is particularly well adapted to process sharply changing signals , and to extract characteristics of these signals
近年来迅速发展起来的小波变换分析方法，具有多尺度分析和时?频局部化特性，特别适用与边缘和峰值突变信号的处理和特征抽取。 |
