wavelet

wavelet

1. In recent years, M-band orthonormal wavelet bases, due to their good characteristics, have attracted attention.

M带正交子波基由于所具有的优良特性得到了广泛关注。

2. Method to Eliminate Noise in On-Line PD Monitoring System of Transformer Based on Wavelet Analysis?

一种基于小波分析的变压器局部放电在线监测消噪方法

3. Wavelet transform, i. e. multi-resolution decomposition and reconstruction is also used to reduce noise.

与数据未经滤波直接训练网络相比，预测结果的平均绝对相对误差降低了3.31%。

4. Wavelet networks are used to model the prediction error to compensate for the predictive output.

为了提高输出预报精度，采用小波网络对预报误差进行预测，作为输出预报的补偿。

5. Hence,An identification algorithm based on wavelet and least absolute errors (WLA) is proposed.

为此 ,在小波去噪的基础上 ,提出了一种最小绝对误差 (LA)辨识算法 .

6. Therefore, an algorithm of PD signal reconstruction based on modulus maximum wavelet domain is presented in this paper.

为此,该文提出一种基于模极大值小波域的局部放电信号重构算法。

7. In order to solve this problem,we introduce translation invariance for wavelet based de-noise technology in this paper.

为消除此类影响,文中将平移不变小波变换的念引入到小波图象降噪应用中。

8. The basic ways of wavelet analysis and it's application in rock.

主要介绍了小波分析的基本方法及其在岩石超声检测信号分析中的应用。

9. We choose wavelet and wavelet packet because wavelet transform (WT) itself has the character of multiresolution.

之所以选择小波和小波包变换是因为小波变换本身就是多分辨率的，这使得它比那些固定分辨率的变换，比如STFT(短时傅立叶变换)更加适合人类的生理声学模型。

10. The correlation wavelet method is then used to extract IRF and FRF of the sensor model.

二者是一对傅氏变换对，其精度高低将直接影响到传感器固有频率、阻尼比等动态参数的识别精度。

11. A kind of method of two-level signature verification based on discrete wavelet transform(DWT) was introduced.

介绍了一种利用离散小波变换提取特征的二级签名认证方法。

12. Compare with DCT that was applied in traditional image coding standard, wavelet transform has more advantages.

以前的图像和视频编码标准采用DCT编码,在变换域嵌入水印大多使用分块或整体DCT技术。 小波变换相比于DCT变换有很多优点。

13. We give the implementation of SRIW in Wavelet Domain for exemplifying it and propose the special evaluation of SRIW.

以小波域为例给出了SRIW实现方法，提出了SRIW特有的评价标准。

14. The charaters after affine transformation can also be recognized by a dyadic wavelet affine invariant function.

仿射变换后的汉字或其它图像可用多尺度小波的仿射不变函数进行对比识别。

15. Mallat S. Zero-crossings of a wavelet transform. IEEE Trans on Information Theory, 1991, 37(4): 1019.

何正友,钱清泉.基于小波变换的信号奇异性指数计算方法及其应用.电力自动化设备,2000,20(3):12

16. A wavelet domain Indicator of the local spatial activity achieved the adaption to the spatial context in the image.

使用具有局部空间活跃性的小波域标记能达到对图像空间上下文关系的适应。

17. Wavelet and support vector machine are used to classify the audio clips.

使用小波变换和支持向量机的方法对音频进行分类。

18. Mallat S. Hwang W L. “Singularity Dectection and processing with wavelet”.

全玉生等，“应用小波变换检测间断角的新方法”，电力网">电力系统自动化，1998.1

19. Key Words: wavelet expansion, Gabor expansion, Wilson expansion, and orthonormal basis.

关键字 ：小波展开式、盖柏展开式、威尔森展开式、正交基底。

20. Title： Analysis of Wavelet Scalogram of Blood Flow Ultrasonic Doppler Signal.

关键词：小波变换；付里叶变换；多普勒信号；血流；频谱分析

21. The key techniques in this system includes wavelet analysis, image thinning, pixel tracing.

其关键技术包括小波分析,图像细化和象素跟踪.

22. The enhancement algorithm based on wavelet transform could extrude mass by adding the plus factor.

再引入增益因子，采用基于小波变换的增强算法突出肿块阴影。

23. There are many difficult problems such as constructing wavelet network and initializing its parameters etc.

分别研究了基于小波框架的小波神经网络和基于多分辨分析的小波神经网络的构造算法，侧重对多小波网络的构造及算法进行了描述。

24. Flexibility and the precise ability of local analysis in wavelet packet analysis during signal denoising are analyzed.

分析了小波包分析在信号去噪中所具有灵活精确的局部解析能力；

25. The data is calculated by using the wavelet transformation and Fourier transformation.

利用小波分析和傅里叶分析方法对资料进行处理，分析结果表明。

26. Time series of lake level anomaly from TOPEX/Poseidon and Jason-1 are studied using the wavelet analysis.

利用小波分析的方法对卫星测高获得的湖水位异常时间序列进行了研究。

27. The wavelet transform is used to analyze some voltage signals what it detected.

利用小波变换对所检测到的电压信号进行了分析。

28. By using wavelet transform, the emission of HHG in different time is obtained.

利用小波变换，观察了高次谐波在不同时刻的发射情况。

29. Detection of Spikes in Epileptic EEG by Using Wavelet Series.

利用小波级数检测癫痫eeg中的棘波

30. By the interpolation property, we provide an explicit formula for constructing the corresponding wavelet.

利用插值特性，给出插值函数相应正交小波符号函数的显式构造公式。

31. The characteristic parameters in the time-domain are obtained by applying Gauss wavelet to envelope analysis (EA).

利用高斯小波进行解包络分析，提取包络分析的时域特征参数。

32. Wavelet Analysis of the Interannual Variability in Southern Qubec Streamflow.

南魁北克气流年际变率的小波分析。

33. Finding Boundary Layer Top: Application of a Wavelet Covariance Transform to Lidar Backscatter Profiles.

发现边界层顶:将小波协方差转换应用于光达反向散射廓线。

34. The wavelet coefficients are selected by Human Visual System (HVS) to ensure the transparence of watermarking.

同时基于人眼视觉系统，对嵌入系数进行筛选以保证水印的透明性。

35. Then the buried depth of crystal basement was inversed using wavelet analysis.

同时应用小波分析技术，从磁场中分解出区域磁异常，反演结晶基底的埋深。

36. The wavelet transform(WT) is a new mathematical tool which will show great prospects in the NIR field.

同时，阐述了光谱的预处理，其中的小波变换方法是一种新的数学工具，有著广泛的应用前景。

37. As showed in the wavelet power spectrum figures,ENSO influences the Luzon Strait transports at different layers.

吕宋海峡年际体积(热量)输送的小波谱图较明显地反映出ENSO现象对吕宋海峡不同层次的输送均产生一定影响。

38. Fundamentals of Image Coding and Wavelet Compressing II.

图像编码基础和小波压缩技术2。

39. In analytical chemistry,wavelet transform has been mainly utilized for signal smoothing,de noising and compression.

在分析化学领域中,小波分析也逐渐应用于去噪与平滑、数据压缩等方面。

40. The wavelet packet transform can be used to compress seismic data in large batch processing.

在大批量地震数据处理中可以使用小波包变换压缩地震数据。

41. Before the advent of Wavelet Analysis, the chief tool on signal processing is Fourier analysis.

在小波分析出现之前，信号处理的主要工具是Fourier分析。

42. After the reconstruction of wavelet, image with clear edge and good contrast was achieved.

在小波重构后，获得了具有清晰边缘和良好对比度的图像。

43. Based on which DCT domain and wavelet transform domain watermarking algorithm is presented.

在此基础上提出了基于人类视觉特性的离散余弦变换水印嵌入算法和离散小波变换水印嵌入算法。

44. In the first step the wavelet coefficients were quantized by using a psycho-acoustic model.

在步骤1中，通过心理音响学模型对小波系数进行量化。

45. MCTF based wavelet video codec is one of the important research fields.

基于MCTF的三维小波视频编解码是其中的主要方向之一。

46. Video coding and error resiling in wavelet field is a good search aspect.

基于小波域的视频图像编码及抗误码方法是非常有前途的研究方向。

47. An ameliorate approach method of image character feature extraction based on wavelet multi-scale analysis and entropy.

基于小波多尺度和熵在图像字符特征提取方法的改进。

48. Acquisition of Pulse Characteritics Based on Wavelet Module Maximum Principle.

基于小波模极大原理的脉象特征提取研究

49. This paper focuses on the research of the de-noising of the passive sonar based on the wavelet.

基于小波的降噪理论,研究了水下舰船辐射噪声的被动声纳降噪问题。

50. An EEG Compression Algorithm Based on Embedded Zerotree Wavelet(EZW).

基于嵌入式零树编码(EZW)的脑电信号压缩算法

51. Is Ridgelet Transform Better than Wavelet Transform in SAR and Optical Image Fusion?

基于脊波变换的SAR与可见光图像融合研究?

52. Though multiscale analysis is applied to logging data generally,the selection of wavelet base is not studied in detail.

多尺度分析方法在测井资料的处理中得到广泛应用,但没有对小波基的选取进行过详细研究。

53. Such, daedal manufacturing management concern was formed in wavelet bottom.

如此，在小浪底形成了错综复杂的生产治理关系。

54. It extracts angular point by means of wavelet transformed modulus maximum of several scales and curvature theory.

它利用在几个尺度上小波变换模极大值和曲率理论提取角点。

55. A novel correlation wavelet method for extracting the IRF of wrist force sensor is presented.

它的动态性能对于保证整个机器人系统的动态品质和稳定精度具有非常重要的作用。

56. The results show that the noise or other things needless can be easily separated by means of wavelet transformation.

实验结果表明,小波变换可以较容易地分离出噪声或其他不需要的信息;

57. When we decomposed them using wavelet, the LLband sometimes can as big as CIF.

对于大画面的视频序列,小波变换分解的层数不能太多。

58. Furthermore the authors propose Qiao-fuzzy algorithm to optimize the response of the image processed by Gabor wavelet.

对于得到的频谱响应图像，提出了桥模糊算法来优化频谱响应。

59. Compressing video-images with wavelet theory is a very important images compression technology in the world.

将小波理论应用于视频图像的压缩是目前国内外十分重视的图像压缩技术。

60. Using high-order cumulants to extract wavelet becomes one of the hot research problems in recent years.

将高阶累积量用于地震子波提取成为近几年来热点研究问题之一。

61. Wavelet analysis has a certain effect on digital image denoising as a better method of transform domain.

小波分析是处理数字图像的一种很好的变换域方法，对去除数字图像噪声也有一定的效果。

62. Application of Wavelet Compression Chip in System of Video Control.

小波压缩芯片在视频监控系统中的应用。

63. Wavelet transform is of good localization property in signal analysis.

小波变换在信号分析中具有良好的局部化特性。

64. Application of wavelet transform to monthly runoff time serial analysis in Zagunao watershed,the upper Minjiang River.

小波变换在岷江上游杂古脑流域径流时间序列分析中的应用

65. Wavelet transform is an efficient mathematical tool for singularity detection.

小波变换是检测信号奇异点的种有效的数学工具。

66. Usually,wavelet transform module maximum accords with saltation points.

小波变换模的极值点常对应于信号突变点。

67. The wavelet transform has the advantage of probing the multi time scale of hydrology and water resources time series.

小波变换法分析水文水资源系统多时间尺度是优越的。

68. Wavelet transform is very suitable for processing multiscalesignals, and it can be used in multiresolution data fusion.

小波变换的多尺度特点非常适合多尺度信号的处理，可以用于多分辨率多传感器数据融合。

69. The noise of medical image could be eliminated effectively by wavelet transform.

小波变换能够实现对医学图像的消噪处理。

70. Analysis of Wavelet Scalogram of Blood Flow Ultrasonic Doppler Signal.

小波尺度图分析法及其在超声血流多普勒信号中的应用。

71. Recently, wavelet neural networks have become apopular tool for non-linear functional approximation.

小波神经网络是近年来发展起来的一种逼近非线性函数的新型人工神经网络。

72. Instantaneous abrupt change in wavelet coefficients can be used to detect the discontinuity of a signal.

小波系数的瞬态突变可以描述信号奇异性；

73. The wavelet network (WN) is the novel and efficient model of nonlinear signal processing developed in last years.

小波网络是近年来发展起来的一种高效非线性信号处理新模型。

74. The wavelet is usually presupposed the minimum phase in wavelet estimation.

常规的地震子波估计是在假设子波为最小相位的基础上对地震记录进行处理。

75. The wavelet analysis and data processing was made based on sampled data stylebook in order to forecast disaster.

并对采集到的数据样本进行小波分析与处理，预报灾害。

76. General harmonic wavelet is an ideal band-pass filter,due to selecting frequency range discretionarily.

广义谐波小波可任意选取频带,是理想的带通滤波器。

77. The wavelet entropy was used to explore the information contained in the EPSP.

应用小波熵研究了EPSP所包含的信息。

78. The Noise Removal of Image Based on Interval Biorthogonal Wavelet[J].

引用该论文 张彬,王卫卫,尚晓清,宋国乡.

79. Methods of signal processing in LIA based on wavelet transform[J].

引用该论文 杨兴林,王华岑,徐铁铮,李劲.

80. A target feature extraction and tracking method using Gabor wavelet[J].

引用该论文 林明秀,董学志,宋建中.