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Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms

机译：分数阶傅里叶域中的卷积，滤波和多路复用及其与线性调频和小波变换的关系

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Ozaktas, H. M.; Barshan, B.; Mendlovic, D.; Onural, L.;
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年度 1994
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1. Optimal Joint Design of Discrete Fractional Fourier Transform Matrices and Mask Coefficients for Multichannel Filtering in Fractional Fourier Domains [J] . Xiao-Zhi Zhang, Bingo Wing-Kuen Ling, Hai Huyen Dam, IEEE Transactions on Signal Processing . 2018,第22期

机译：分数阶傅里叶域中多通道滤波的离散分数阶傅里叶变换矩阵和掩码系数的最优联合设计
2. Using empirical mode decomposition and fractional Fourier transform-segment filtering algorithm to suppress high-power interference in non-linear chirp radars [J] . Sherif A. Elgamel Radar, Sonar & Navigation, IET . 2016,第5期

机译：利用经验模态分解和分数阶傅里叶变换段滤波算法抑制非线性chi雷达的高功率干扰
3. Interference Cancellation by Repeated Filtering in the Fractional Fourier Transform Domain Using Mean-Square Error Convergence [J] . Seema Sud International Journal of Engineering Research and Applications . 2016,第5期

机译：使用均方误差收敛在分数阶傅里叶变换域中通过重复滤波消除干扰
4. Filtering in fractional Fourier domains and their relation to chirp transforms [C] . Ozaktas, H.M., Barshan, Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean . 1994

机译：分数阶傅里叶域中的滤波及其与线性调频变换的关系
5. The centered discrete fractional Fourier transform, properties, computation, and application to linear chirp signals. [D] . Vargas-Rubio, Juan Gaspar. 2004

机译：中心离散傅里叶分数阶变换，性质，计算以及对线性线性调频信号的应用。
6. Nyquist Zone Index and Chirp Rate Estimation of LFM Signal Intercepted by Nyquist Folding Receiver Based on Random Sample Consensus and Fractional Fourier Transform [O] . Xinqun Liu, Tao Li, Xiaolei Fan, 2019

机译：基于随机样本共识和分数阶傅里叶变换的奈奎斯特折叠接收机截获的LFM信号的奈奎斯特区指数和线性调频率估计
7. Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms [O] . Ozaktas Haldun, M., Barshan Billur, Mendlovic David, Onural Levent 1994

机译：分数阶傅里叶域中的卷积，滤波和多路复用及其与线性调频和小波变换的关系

Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms

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