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Design of Perfect Reconstruction Cosine Modulated Filter Bank with Linear Phase
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作者 Tan, Ying 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1998年第1期24-30,共7页
We propose the quadratic constrained formulas for the design of linear phase cosine modulated paraunitary filter banks given in references . Using these formulae, we can, directly, optimize the prototype filter coeff... We propose the quadratic constrained formulas for the design of linear phase cosine modulated paraunitary filter banks given in references . Using these formulae, we can, directly, optimize the prototype filter coefficients in a quadratic form. A design example is also given to demonstrate these formulae in this paper. 展开更多
关键词 Quadratic constrained formula Linear phase Perfect reconstruction Cosine modulated FB.
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Denoising of X-ray pulsar observed profile using biorthogonal lifting wavelet transform 被引量:3
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作者 Mengfan Xue Xiaoping Li +3 位作者 Yanming Liu Haiyan Fang Haifeng Sun Lirong Shen 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第3期514-523,共10页
In X-ray pulsar-based navigation, strong X-ray background noise leads to a low signal-to-noise ratio(SNR) of the observed profile, which consequently makes it very difficult to obtain an accurate pulse phase that di... In X-ray pulsar-based navigation, strong X-ray background noise leads to a low signal-to-noise ratio(SNR) of the observed profile, which consequently makes it very difficult to obtain an accurate pulse phase that directly determines the navigation precision. This signifies the necessity of denoising of the observed profile. Considering that the ultimate goal of denoising is to enhance the pulse phase estimation, a profile denoising algorithm is proposed by fusing the biorthogonal lifting wavelet transform of the linear phase characteristic with the thresholding technique. The statistical properties of X-ray background noise after epoch folding are studied. Then a wavelet-scale dependent threshold is introduced to overcome correlations between wavelet coefficients. Moreover, a modified hyperbola shrinking function is presented to remove the impulsive oscillations of the observed profile. The results of numerical simulations and real data experiments indicate that the proposed method can effectively improve SNR of the observed profile and pulse phase estimation accuracy, especially in short observation durations. And it also outperforms the Donoho thresholding strategy normally used in combination with the orthogonal discrete wavelet transform. 展开更多
关键词 X-ray pulsar denoising linear phase wavelet-scale dependent threshold
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