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Ｃｏｈｅｎ类双线性时频分布作为一种有力的非平稳信号解析工具，得到日益广泛的应用。该文引入了一种新的双线性离散时间时频分布，与原有的利用解析信号方法相比，它利用了信号全部局部自相关信息，从而在不必计算解析信号的情况下，解决了按一倍Ｎｙｑｕｉｓｔ率对原始信号抽样时其时频分布产生混叠的问题，并且讨论了新方法的性质及其核函数应满足的条件。
Cohen class of bilinear time-frequency distribution as a powerful non-stationary signal analysis tools, has been increasingly widely used. In this paper, a new bilinear discrete-time time-frequency distribution is introduced, which uses all the local autocorrelation information of the signal compared with the original method of using analytic signals, so as to solve the problem without having to calculate the analytic signal The Nyquist rate doubling time-frequency distribution of the original signal samples is also discussed. The properties of the new method and the conditions that its kernel function should satisfy are discussed.