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This paper studies the statistical properties and distributed properties of the coefficients after the image is decomposed at different scales by using the wavelet transform. The different quantization and coding scheme for each subimage are carried out in accordance with its statistical properties and distributed properties of the coefficients. The wavelet coefficients in low frequency subimages...
Harmonics in power system are harmful to power network. In order to analyze power system harmonic more accurately, a new harmonic analysis algorithm based on interpolating windowed FFT and wavelet transform is proposed. This approach overcomes the shortcoming of FFT having frequency domain localization ability, but without time-domain localization ability. In this paper, the original signal is decomposed...
The paper presents a new algorithm for target recognition by fusing images of dual-band infrared cameras. The algorithm extracts a collection of features, which are invariable in translation, rotation and expansion, using the 2-D Fourier wavelet descriptor. The target is first recognized in each band of the images using the extracted features and then the recognition is refined by fusing the results...
In order to realize perfect reconstruction, finite-length signals must be extended in some way before they can be transformed. This paper first proposes a method of constructing wavelets decomposition and reconstruction matrices of wavelet coefficient without iterative calculation with symmetric boundary-extension of finite length signal, and correspondingly gives the base vectors and base graphs...
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