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61. A Morlet - like wavelet clusterbased method for bandpass filtering and envelope demodulation is described.

62. A new method for further frequency analysis whose name is wavelet - cepstrum is established.

63. In chapter three, we study the wavelet numerical solution of simply - boundary value problem of biharmonic equation.

64. Recent years researching the theory of wavelet has become a new direction in applied math.

65. Because of this property , both time frequency characteristics of the signal are captured in Wavelet transform.

66. First, the lifting quincunx wavelet transform is used to perform a multiscale decomposition of each image.

67. The development of time - frequency analysis has three periods: Fourier transform, short - time Fourier transform and wavelet transform.

68. The paper presents a new wavelet transform based generator split phase transverse differential protection scheme with sampled values.

69. A new false color mapping and wavelet integrated approach is presented, and is used to fuse the panchromatic image and spectral images.

70. The new algorithm decomposes noisy signal in time phase and suppress deform quantum of wavelet decomposition coefficients in frequency phase.

71. On the basis of analyzing video data acquisition from radar recording meter, an improved radar image compression algorithm, based on zero-tree coding wavelet decomposition, was proposed.

72. A new spatial frequency analysis method based on wavelet was applied to homomorphic filtering to enhance the contrast of ICT image.

73. Considering robustness of watermark, we choice frequency Coefficients of DWT ( Discrete Wavelet Transformation ) to embed white watermark.

74. Using intra-scale dependency of wavelet coefficients and generalized Gaussian model, this paper proposes an adaptive neighboring threshold value de-noising method.

75. The fast HRP algorithm is advanced at wavelet domain by taking advantage of wavelet multiresolution decomposition, and a parallel algorithm framework is used to further reduce operation time.

76. The paper analyses the blood pressure signal with the theory of wavelet and fuzzy recognition.

77. For us to extract wavelet by least square method in short window can derive a symmetric matrix algorithm, which is different from the algorithm of commonly used Toeplitz matrix.

78. Using the multi-character of the wavelet space as the characters of a target to increase the dimension of the character space of the target and to increase the reliability of identifying the target.

79. Frames is an important part in research of wavelet analysis and its definition was formally advanced by Duffin and Schaefer when they studied the problems of nonharmonic Fourier expansions in 1952.

80. A method for harmonic detectingpower system based on wavelet transform is proposed.

81. Compared with deconvolution method[sentencedict.com], the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.

82. The pyramidical Mallat algorithm of orthogonal dyadic wavelet transformation and its application in a wavelet based integrated filter were introduced.

83. Firstly, using the first order derivative of Gaussian function as the base wavelet, the direction angle function of a planar curve was analyzed on multiple scales to obtain the candidates of corners.

84. In the process of defining wavelet transform, signal length is assumed to be infinite, but the actual signal's length is limited, it is necessary to extend signal length before transform.

85. Firstly, the target images were decomposed by wavelet transform with the scale which was a function of viewing distance and image height.

86. Constrained sparse spike inversion is conducted to predict the general distribution of reservoirs before GI, and the results including wavelet and 3D acoustic impedance(AI) can be used later.

87. Secondly, this paper researched the principle of wavelet analysis, and then applied it to dielectric loss measurement and a check analysis is also made through MATLAB.

88. Considering the localization character of wavelet transform in spatial domain, a block-based rounding method is adopted to achieve the purpose of precise embedding.

89. In the image denoising algorithms, it is also a hotspot to overcome the lack of shift invariance of discrete orthonormal wavelet transform.

90. Therefore, a lossy Internet image transmission scheme based on wavelet transform is presented, by which Internet image transmission time can be decreased substantially.