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Differences of Weighted Composition Operators from Mixed-Norm Spaces to Weighted-Type Spaces
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作者 Xianhao ZHAO Yuxia LIANG 《Journal of Mathematical Research with Applications》 CSCD 2012年第5期615-625,共11页
In this paper, we study the boundedness and estimate the essential norm of the differences of weighted composition operators from mixed-norm spaces to weighted-type spaces on the unit ball of CN.
关键词 weighted composition operator mixed-norm spaces weighted-type space essential norm difference.
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On the Probability Density Function of the Real and Imaginary Parts in WFRFT Signals 被引量:9
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作者 Xiaolu Wang Lin Mei +1 位作者 Zhenduo Wang Naitong Zhang 《China Communications》 SCIE CSCD 2016年第9期44-52,共9页
Recently a Hybrid Carrier (HC) scheme based on Weighted-type Fractional Fourier Transform (WFRFT) was proposed and developed, which contains Single Carrier (SC) and Multi-Carrier (MC) synergetie transmission. ... Recently a Hybrid Carrier (HC) scheme based on Weighted-type Fractional Fourier Transform (WFRFT) was proposed and developed, which contains Single Carrier (SC) and Multi-Carrier (MC) synergetie transmission. The wide interest is primarily due to its appealing characteristics, such as the robust performances in different types of selective fading channels and a great deal of potential for secure communications. According to the literatures, the HC signal and SC or MC signal probability distributions are different. In particular, some benefits of this HC scheme are brought by the quasi-Gaussian distribution of WFRFT signals. However, until now researchers have only presented statistic properties through computer simulations, and the accurate expressions of signals are not derived yet. In this paper, we derive the accu- rate and rigorously established closed-form expressions of Probability Density Function (PDF) of WFRFT signal real and imaginary parts with a large number of QPSK subcarriers, and this PDF can describe the behavior of data modulated by WFRFT, avoiding the complex computation for extensive computer simulations. Furthermore, the components of PDF expression are described and analyzed, and it is revealed that the tendency of signal quasi-Gaussian changes with the increasing of the parameter a (a in (0,1]). To validate the analytical results, extensive simulations have been conducted, showing a very good match between the analytical results and the real situations. The contribution of this paper may be useful to deduce the closed form expressions of Bit Error Ratio (BER), the Complementary Cumulative Distribution Function (CCDF) of Peak to Average Power Ratio (PAPR), and other analytical studies which adopt the PDF. 展开更多
关键词 weighted-type fractional Fourier transform probability density function single carrier MULTI-CARRIER hybrid carrier
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WFRFT modulation recognition based on HOC and optimal order searching algorithm 被引量:6
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作者 LIANG Yuan DA Xinyu +3 位作者 WU Jialiang XU Ruiyang ZHANG Zhe LIU Hujun 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第3期462-470,共9页
A hybrid carrier(HC) scheme based on weighted-type fractional Fourier transform(WFRFT) has been proposed recently.While most of the works focus on HC scheme's inherent characteristics, little attention is paid to... A hybrid carrier(HC) scheme based on weighted-type fractional Fourier transform(WFRFT) has been proposed recently.While most of the works focus on HC scheme's inherent characteristics, little attention is paid to the WFRFT modulation recognition.In this paper, a new theory is provided to recognize the WFRFT modulation based on higher order cumulants(HOC). First, it is deduced that the optimal WFRFT received order can be obtained through the minimization of 4 th-order cumulants, C_(42). Then, a combinatorial searching algorithm is designed to minimize C_(42).Finally, simulation results show that the designed scheme has a high recognition rate and the combinatorial searching algorithm is effective and reliable. 展开更多
关键词 weighted-type fractional Fourier transform(WFRFT) modulation recognition higher order cumulants(HOC) combinatorial searching algorithm
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