求助!中文译为英文 !!善良的英语高手请进!!
原文汉语如下:时频分析的主要研究对象是非平稳或时变信号,它能清楚地揭示信号的时变频谱特性,在信号处理中有着非常重要的作用。短时傅里叶变换(short-timeFourie...
原文汉语如下:
时频分析的主要研究对象是非平稳或时变信号,它能清楚地揭示信号的时变频谱特性,在信号处理中有着非常重要的作用。
短时傅里叶变换(short-time Fourier Transform ,STFT)是最常用的一种基于线性变换的时频分析方法,是傅里叶变换的自然推广,它在本质上是一种直接利用分析信号和参考信号匹配的分析方法,它通过时间窗内的一段信号来表示某一时刻的信号特性。其主要优点是:其理论和应用的简单性。但它的缺点是不能够同时兼顾时间和频率分辨率显然,窗越宽,时间分辨率越差;反之则会降低频率分辨率。
本文正是由以上相关算法理论基础为依据,在研究中模拟一非平稳信号,分别使用加矩形窗、高斯窗、汉明窗、布莱克曼窗这四个有代表性的窗函数的STFT算法对所模拟的非平稳信号进行时频分析,并利用Matlab软件对结果进行仿真,得相关谱图,再利用基于该时频分布所提取的平均频率与原模拟信号理论值相比,使人们可以直观地得出各种窗函数的性能比较。
求好心人帮忙把这段话翻译为英语,非常感谢!!!
请大家帮帮忙不要用那些翻译软件求速度!!翻译的好我可以加分啊 这是我的毕业设计 非常重要!!谢谢大家~ 展开
时频分析的主要研究对象是非平稳或时变信号,它能清楚地揭示信号的时变频谱特性,在信号处理中有着非常重要的作用。
短时傅里叶变换(short-time Fourier Transform ,STFT)是最常用的一种基于线性变换的时频分析方法,是傅里叶变换的自然推广,它在本质上是一种直接利用分析信号和参考信号匹配的分析方法,它通过时间窗内的一段信号来表示某一时刻的信号特性。其主要优点是:其理论和应用的简单性。但它的缺点是不能够同时兼顾时间和频率分辨率显然,窗越宽,时间分辨率越差;反之则会降低频率分辨率。
本文正是由以上相关算法理论基础为依据,在研究中模拟一非平稳信号,分别使用加矩形窗、高斯窗、汉明窗、布莱克曼窗这四个有代表性的窗函数的STFT算法对所模拟的非平稳信号进行时频分析,并利用Matlab软件对结果进行仿真,得相关谱图,再利用基于该时频分布所提取的平均频率与原模拟信号理论值相比,使人们可以直观地得出各种窗函数的性能比较。
求好心人帮忙把这段话翻译为英语,非常感谢!!!
请大家帮帮忙不要用那些翻译软件求速度!!翻译的好我可以加分啊 这是我的毕业设计 非常重要!!谢谢大家~ 展开
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Time-frequency analysis of the main object of study non-stationary or time-varying signal, it can clearly reveal the time-varying spectral characteristics of the signal, in signal processing has a very important role.
Short time Fourier transform (short-time Fourier Transform, STFT) is the most common linear transformation based on frequency analysis, Fourier transform is a natural extension, it is essentially a direct use of signal and reference signal matching method, which by the time the section of the window signal to said signal characteristics of a moment. Its main advantages are: its theory and application of simplicity. But its drawback is that not taking into account the time and frequency resolution is clear that the wider the window, the time resolution worse; otherwise it will reduce the frequency resolution.
This article is from the above theoretical basis for the correlation algorithm based on the study to simulate a non-stationary signals, respectively, plus the use of rectangular windows, the Gaussian window, Han Ming window, Blackman window of the four representative window function of STFT algorithm on the simulation of non-stationary signals, time-frequency analysis, using Matlab software to simulate the results may be related to spectrum, then use the time-frequency distribution based on the average frequency extracted from the original analog signal than the theoretical value, so that people can obtained directly compare the performance of various window functions.
Short time Fourier transform (short-time Fourier Transform, STFT) is the most common linear transformation based on frequency analysis, Fourier transform is a natural extension, it is essentially a direct use of signal and reference signal matching method, which by the time the section of the window signal to said signal characteristics of a moment. Its main advantages are: its theory and application of simplicity. But its drawback is that not taking into account the time and frequency resolution is clear that the wider the window, the time resolution worse; otherwise it will reduce the frequency resolution.
This article is from the above theoretical basis for the correlation algorithm based on the study to simulate a non-stationary signals, respectively, plus the use of rectangular windows, the Gaussian window, Han Ming window, Blackman window of the four representative window function of STFT algorithm on the simulation of non-stationary signals, time-frequency analysis, using Matlab software to simulate the results may be related to spectrum, then use the time-frequency distribution based on the average frequency extracted from the original analog signal than the theoretical value, so that people can obtained directly compare the performance of various window functions.
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