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频谱分析中易出现泄漏现象,加窗函数是减少频谱泄漏的有效方法,但传统的仅用某一固定类型的窗进行频谱分析的做法会造成旁瓣泄漏和主频精度之间的矛盾,导致无法全面准确地认识信号频谱.针对此缺陷,该文详细讨论各种不同窗函数对信号傅氏变换后频谱的影响,揭示各种窗的特点和作用,提出用窗函数进行频谱分析时的改进措施:根据分析信号的性质与处理要求,选用合适的窗,达到实际测量目的;在不同窗口下得到的频谱相互参考,取长补短,从而对信号频谱作出全面准确的判断.仿真实验表明,此方法可大大提高频谱分析的精确度和全面性,是科学有效的.“,”Window function is an effective approach to reduce the influence of spectrum leakage,which is a common phenomenon in spectrum analysis,however traditional ways of using certain static window for spectrum analysis will cause the contradiction of sidelobe leakage and mainlobe precision,making it difficult to understand signal spectrum precisely and thoroughly. In order to overcome this defect,this paper discusses in detail the influence of various kinds of window functions on signal spectrum after Fourier Transform and discovers the merit and function of each window. Based on these work,a improved means of spectrum analysis using window function is proposed. In order to seize the most precise result and make the entire exact judgment on signal spectrum,this paper shows how to choose suitable windows according to the requirement and character of analyzed signal,and how to compare the different results under each window. Simulation experiment proves that this approach is scientifically effective and can greatly improve the precision and comprehensiveness of signal spectrum.