wavelet造句
31. If the wavelet transform is directly implemented in pitch detection, comparing the glottal closure singularity of speech signal with image grey break, we will not obtain the anticipative result.
32. The characteristics of PSDM based on double square root (DSR)are little alias, simply boundary treatment, not required seismic source wavelet and great computational efficiency.
33. Confirmable watermark, which is obtained from Discriminating watermark after an especial process with pseudo random sequence, is embedded into the wavelet coefficients of low sub-band.
34. The methodalmost removes influence resulting from reflection coefficient sequence in wavelet autocorrelation estimation in statistical deconvolution.
35. This paper proposes an analog synthesis circuit of a wavelet function approximator using sigmoidal mother wavelet.
36. In the orthogonal wavelet transformation coding, it is to make use of wavelet frequency splitting that may deal with data, and then get the better result of compression.
37. Second, by means of wavelet multi-resolution analysis, separating modulating signal from radiated noise of naval ships has been simulated and realized with moderate and low signal-to-noise rate.
38. In terms of the temperature inversion algorithms, background noise subtraction and the wavelet denoising algorithm are used to enhance the signal to noise ratio.
39. High-pass filter and wavelet packet transform were utilized to estimate and eliminate ringing noise for ultrasonic testing of the friction-welded joints in low carbon steel.
40. Part two: This paper analyzed the degree of predicting precision affected by decomposing scale coefficient of wavelet cycle model and various kinds of reservoir inflow runoff series.
41. In the premise of ensuring the accuracy of seismic wavelet, reduced the model order as much as possible so as to obtain high-efficiency and high-precision seismic wavelet model order determination.
42. By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure.
43. Also, the paper has researched the characteristic signal in terms of wavelet analysis.
44. Firstly, our wavelet - based scalable video codec scheme and system are presented.
45. Thus it proposes the BP neural network fault diagnosis algorithm based on the incompletion wavelet packet transform and energy normalization as preprocessors .
46. Biorthogonal spline wavelet may work for the identification of its weak signal.
47. Firstly, the cost of every frequency channel was defined and the conformation of best wavelet was build by choice special frequency channel.
48. Because the algorithm of cloud threshold often generates boundary effect, this paper proposed an improved algorithm based on wavelet transform and homomorphic filter.
49. This paper presents a method of radar target identification using wavelet transforms and rough sets.
51. The performance of time hopping pulse position modulation (TH-PPM) UWB system using this wavelet monocycle was studied under additive white Gaussian noise (AWGN) channel.
52. Leakage distinguishing techniques include the auto signal sub-section, residual error, cross correlation, long pole statistic, and wavelet transform techniques.
53. And then, quincunx sampling lifting scheme wavelet transform was used to fuse the images of polarization feature and total intensity.
54. The concept of wavelet contrast was raised according to the fact that the human vision only be sensitive to local brightness contrast.
55. The time frequency analysis function of wavelet can analyses impulse phenomenon.
56. In this paper, several identifying methods such as tendency analysis and filter, fuzzy recognition, fractal description and multi-resolution wavelet technique for abnormal signals are discussed.
57. The simulation experiments show that the method is reasonable and effective which uses wavelet transform to realize the fault line selection and fault location in small current grounded system.
58. Automated threshold algorithm of second wavelet transform is used in extraction of partial discharge.
59. In the section of doorplate number recognition, doorplate number recognition is presented by wavelet neural network based on BP.
60. This paper proposes a blind image restoration algorithm iteratively using wavelet denoising and total variation regularization.
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