O438 97053161分数阶傅里叶变换=Fourier transform of fractionalorder[刊,中]/蒋志平(国防科技大学应用物理系.湖南,长沙(410073))∥量子电子学.—1996,13(4).—289—300介绍分数阶傅里叶变换的概念、性质、光学解释和实现、与其它变...O438 97053161分数阶傅里叶变换=Fourier transform of fractionalorder[刊,中]/蒋志平(国防科技大学应用物理系.湖南,长沙(410073))∥量子电子学.—1996,13(4).—289—300介绍分数阶傅里叶变换的概念、性质、光学解释和实现、与其它变换的关系及应用等。图4参22(于晓光)O438 97053162分数傅里叶变换产生分数泰伯效应=FractionalTalbot effect under fractional Fourier transform[刊,中]/华建文,刘立人(中科院上海光机所.上海(201800))∥中国激光.—1997,24(2).—163—168讨论了如何使用分数傅里叶变换来产生分数泰伯效应,导出了要产生这种双重变换的光学条件,变换后的周期、变换比例因子和级联运算法则,并进行了实验验证,这种双重变换有助于光学系统的设计。展开更多
Some factors influencing the intelligibility of the enhanced whisper in the joint time-frequency domain are evaluated. Specifically, both the spectrum density and different regions of the enhanced spectrum are analyze...Some factors influencing the intelligibility of the enhanced whisper in the joint time-frequency domain are evaluated. Specifically, both the spectrum density and different regions of the enhanced spectrum are analyzed. Experimental results show that for a spectrum of some density, the joint time-frequency gain-modification based speech enhancement algorithm achieves significant improvement in intelligibility. Additionally, the spectrum region where the estimated spectrum is smaller than the clean spectrum, is the most important region contributing to intelligibility improvement for the enhanced whisper. The spectrum region where the estimated spectrum is larger than twice the size of the clean spectrum is detrimental to speech intelligibility perception within the whisper context.展开更多
基金The National Natural Science Foundation of China(No.61301295,61273266,61301219,61201326,61003131)the Natural Science Foundation of Anhui Province(No.1308085QF100,1408085MF113)+2 种基金the Natural Science Foundation of Jiangsu Province(No.BK20130241)the Natural Science Foundation of Higher Education Institutions of Jiangsu Province(No.12KJB510021)the Doctoral Fund of Anhui University
文摘Some factors influencing the intelligibility of the enhanced whisper in the joint time-frequency domain are evaluated. Specifically, both the spectrum density and different regions of the enhanced spectrum are analyzed. Experimental results show that for a spectrum of some density, the joint time-frequency gain-modification based speech enhancement algorithm achieves significant improvement in intelligibility. Additionally, the spectrum region where the estimated spectrum is smaller than the clean spectrum, is the most important region contributing to intelligibility improvement for the enhanced whisper. The spectrum region where the estimated spectrum is larger than twice the size of the clean spectrum is detrimental to speech intelligibility perception within the whisper context.