wavelet造句
91. The enhancement algorithm based on wavelet transform could extrude mass by adding the plus factor.
92. A new approach using scalogram of wavelet transform for travelling wave transient signal detection, under noise free condition or noise condition separately, was described.
93. By means of weighed orthogonal polynomials and the wavelet functions, the M- band band-limited orthogonal wavelet-like functions in a bounded interval are then established.
94. According to the existed type of random noise in fingerprint image, we proposed an integrated denoising algorithm based on mid-value filtering and wavelet transform of fingerprint image.
95. This thesis focuses on the data compression scheme based on wavelet transform and data coding method.
96. The spatial distributed characteristics and high resolution ratio of the wavelet image coefficients lead to correlation in spatial position and content, so adopting VQ technique is suitable.
97. The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
98. Methodof recognising noise sources with continuous wavelet is also discussed.
99. In this paper, we discuss the relation between matched filter and wavelet transform(WT), and point out that wavelet transform is just the matched filter with changeable detection template.
100. The over-complete dictionary, which is built on anisotropic refinement and rotation of 2D nonseparable Mexican hat wavelet, can efficiently capture edge characteristics present in natural images.
101. Compared with the JPEG standard, JPEG2000 standard adopts some different compress technique, such as the Discrete Wavelet Transform, Embedded Coding and so on.
102. Aim at soupy images' bigger noisy, this thesis in detail analyzed the method of eliminating noisy, based wavelet theory.
103. According to the peculiarity that the scale exhibit progressional variety, this paper deduces a group of multiscale wavelet filter from two dimensions smooth function.
104. In Chapter 4, the infeasibility of wavelet graduation is discussed in this chapter.
105. The com plex wavelet transform algorithm extracts the sine current signal that has thes ame frequency with the injected signal from each branch current.
106. By analyzing the spatial property of different resolution image, an approach to image detection based on multi-direction two-scale wavelet transform is proposed in this paper.
107. The main contributions are summarized as follows:1. Proposed an integrated denoising algorithm based on mid-value filtering and wavelet transform of fingerprint image.
108. By the method of transforming training sequences and calculating the mean square error of the demodulated signal in each subband branch, the optimal wavelet packet best-tree could be decided.
109. The wavelet transformation and the practical application of wavelet transformation in singular point detection are briefly introduced in this thesis.
110. A new single - phase earth fault detection technique based on wavelet packet analysis is introduced.
111. Because wavelet transform is preferable to detect singular point,[www.] periodicity of distribution about striping noise in wavelet coefficient are found.
112. An auto - companding technique on analog circuit behavioral modeling based on wavelet collocation method is proposed.
113. Wavelet filter method is used for filtering processes of nuclear logging signals, which can provide accurate data for accurate evaluation of coal seams.
114. An orthogonal wavelet filter design method based on the lattice structure of perfect reconstruction filter bank, is proposed in this paper.
115. It adopts wavelet transform to make the power decomposition to waveforms and constructs relevant character vectors.
116. The rate control problem in such video coder can be regarded as a problem of bit-allocation among different wavelet sub-bands.
117. From the analysis of time-varying filtering characteristic oof stratums, a multiscale model of seismic Wavelet is presented.
118. Wavelet network not only could compress data effectively but also could recover original signal.
119. Therefore Wavelet analysis is called a microscope of signal analysis and a milestone of Fourier analysis.
120. The wavelet analysis on SBF signals revealed that the peak amplitude of myogenic activity increased and its corresponding frequency decreased under pressure.
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