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本程序是功率谱密度的仿真比较,关于三个信号源的具体情况参见《现代数字信号处理导论》上册，P202，习题5。
实验方法：周期图法、自相关法和协方差法。
-this procedure is the power spectral density of the simulation, 3 signal source on the specific circumstances, see the "modern digital signal processing" Introd
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用matlab产生自相关系数固定的序列,然后再观察其功率谱密度.-using Matlab correlation coefficient derived from the fixed sequence, and then observed its power spectral density.
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关于GPS中BOC信号的产生，功率谱密度仿真，自相关函数以及与C/A码的互相关仿真程序。能够有效的对BOC信号的特性进行分析-On the GPS in the BOC signal generation, power spectral density simulation, the autocorrelation function as well as with the C/A code cross-correlation simulation program. Of the BOC can
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随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。- White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and powe
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％ 仿真主要完成OFDM系统建模,实现OFDM系统传输流程,
％ 并对OFDM信号的时域波形及功率普密度进行分析.进行循环谱相关切片的分析。- Simulation of the main complete OFDM system modeling, the realization of OFDM transmission system process, of the OFDM signal in time domain waveforms and power density analysi
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随机产生序列u(n),计算自相关系数并且计算功率谱密度-Randomly generated sequence u (n), calculated from the correlation coefficient and calculate the power spectral density
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自相关函数Rxx（tao）可以了解不同时刻同一随机样本间的波形相似程度。
自功率谱密度函数Sxx（f）：反映相关函数在时域内表达随机信号自身与其他信号在不同时刻的内在联系。当随机信号均值为零时，自相关函数和自功率谱密度函数互为傅立叶变换对。
-Autocorrelation function Rxx (tao) can learn the same random sample at different times the degree of similarity between th
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The M-file computes the spectral correlation function or cyclic spectral density using the FFT accummulation method.
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方便准确的计算信号的互相关函数和互相关功率谱密度。-To facilitate accurate calculation of the signal cross-correlation function and cross-correlation power spectral density.
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FAM Method. This Method compute spectral correlation density function. This method is based on modifications of time smoothed cyclic cross periodogram.
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了解随机信号自身的特性，包括均值（数学期望）、方差、相关函数、频谱及功率谱密度等。-Understanding of random signal their characteristics, including mean (mathematical expectation), variance, correlation function, spectrum and power spectral density.
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Cyclic Power Spectral Density \tab\tab\tab of signals X and Y using Welch s average
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用余弦法仿真的瑞利衰落，包括自相关互相关、功率谱密度等等。依据是Chengshan Xiao2003年的文章。-Cosine method for simulation of Rayleigh fading, including the auto-correlation cross-correlation, power spectral density and so on. Based on the the Chengshan Xiao2003 article.
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根据伪随机序列理论，由混合同余法产生均匀分布的随机数，进而根据中心极限定理来产生高斯噪声。
分析所产生的均匀分布和高斯分布随机信号的均值、方差、自相关等数字特征，估计其概率密度函数并进行分析，估计其功率谱密度并进行分析。说明该高斯噪声是否符合白噪声特性。
对该高斯噪声进行FIR低通滤波，估计输出低通型限带白噪声的功率谱、相关时间等，并结合白噪声通过线性系统相关理论来进行分析。
-According to the theory of pseudo-random sequence, a
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随机信号的统计特性测试,均值、方差，相关函数（包括自相关、互相关函数）、频谱及功率谱密度算法.-The statistical properties of random signal test, mean, variance, correlation function (including autocorrelation, cross-correlation function), spectrum and power spectral density algorithms.
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通过LabView实现的谱相关密度计算，个人感觉数据传输方面有待完善。-LabView achieved through spectral correlation density computing, personal feeling data transmission needs to be improved.
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Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If a noise, its amplitude distribution obeys the gaussian distribution, and its power spectral density is uniformly distributed, has des
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所谓高斯噪声是指它的概率密度函数服从高斯分布（即正态分布）的一类噪声。如果一个噪声，它的幅度分布服从高斯分布，而它的功率谱密度又是均匀分布的，则称它为高斯白噪声。高斯白噪声的二阶矩不相关，一阶矩为常数，是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。-Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If
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所谓高斯噪声是指它的概率密度函数服从高斯分布（即正态分布）的一类噪声。如果一个噪声，它的幅度分布服从高斯分布，而它的功率谱密度又是均匀分布的，则称它为高斯白噪声。高斯白噪声的二阶矩不相关，一阶矩为常数，是指先后信号在时间上的相关性。高斯白噪声包括热噪声和散粒噪声。-Gaussian noise refers to its obey gaussian probability density function (i.e., normal distribution) of the noise. If
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this matlab code treats the ofdm signal in WIFI standard and calculates its SCD(spectral correlation density) ,the generation of pilots , guard time cyclic prefix -this matlab code treats the ofdm signal in WIFI standard and calculates its SCD(spectr
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