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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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用双音频输入重新仿真,实现频谱扩展功能,产生滤波后高斯过程功率谱密度和相关高斯序列时域值-Re-simulation with dual audio inputs, to achieve spread spectrum function, resulting in filtered Gaussian process Gaussian power spectral density and the associated value of time-domain sequence
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BPSK信号以及BPSK信号扩频后信号的仿真,通过低通滤波器以后,做出其功率谱密度图,查看其信号特性。-BPSK signal and the signal spread spectrum BPSK signal simulation, after low-pass filter through to make its power spectral density maps, see the signal characteristics.
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谱估计法分析随机信号,并对其进行傅里叶变换-Spectral analysis is a tool for signal analysis. Power spectrum estimation is based on limited data looking for signals, the frequency of random process or system components. It said random signal frequency-domain statistical ch
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利用MATLAB编写的功率谱密度计算的程序,程序包含三种常用方法。-There are three types of estimators: power spectral density (PSD),
mean-square spectrum (MSS), and pseudo spectrum.
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成型滤波器法仿真平坦衰落信道,功率谱密度为高斯谱-Flat fading channel simulation of the shaping filter method, power spectral density for the Gaussian spectrum
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成型滤波器法仿真平坦衰落信道,功率谱密度为经典谱-Simulation of the shaping filter method flat fading channel, power spectral density for the classical spectrum
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成型滤波器法仿真平频率选择性信道,功率谱密度为高斯普谱-Forming filter method simulation frequency selective channel, the power spectral density spectrum for high-Split
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成型滤波器法仿真频率选择性衰落信道,功率谱密度为经典谱-Shaping filter method simulation of frequency selective fading channel, power spectral density of the classical spectrum
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几种功率谱密度估计的方法,有古典功率谱估计和现代功率谱估计-Several power spectral density estimation method, a classical power spectrum estimation and modern power spectrum estimation
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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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谐波叠加法计算激励谱并采用加窗傅立叶变换反算功率谱密度曲线-Harmonic superposition method to calculate the excitation spectrum, and windowed Fourier transform the inverse power spectral density curve
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通信原理仿真实验:AM、FM调制、单双极性归零码波形及功率谱、根升余弦滚降系统功率谱密度及眼图、信源分布对AMI功率谱的影响。-Communication Theory simulation: AM, FM modulation, single and double polarity zero code waveform and power spectrum, root raised cosine roll-off system power spectral density and eye di
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一维序列x(n)的连续功率谱分析,ol(0:m)频率,tl(0:m)周期,sl(0:m)连续功率谱,st95(0:m)红噪音或白噪音谱的95 置信上限,strw(0:m) 红噪音或白噪音的谱密度,其中m=[n/2.]。-Continuous power spectral analysis of the one-dimensional sequence x (n) of the continuous power spectrum, ol (0: m), frequency, tl (0: m) c
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海杂波相关K分布建模,使用球不变随机过程方法实现,概率密度曲线和功率谱-K distribution of sea clutter modeling spherically invariant random process method, the probability density curve and power spectrum
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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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信号频谱分析程序 可得出信号的功率谱密度 频谱密度-Signal spectrum analysis procedures can be derived the power spectral density of the signal spectral density
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雷达信号的基本模型,高斯分布,几何分布,求信号的概率分布,概率密度函数,功率谱函数,自相关函数-The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation functio
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此程序主要是详细给出了在matlab中如何求解信号的fft,包括功率谱,功率谱密度,幅度谱;-This procedure is given in detail how to solve the signal in matlab fft, including power spectrum, power spectral density, amplitude spectrum
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利用Matlab软件编写的轨道不平顺数据分析程序能够对轨检车测得的不平顺数据进行处理,得到功率谱密度分布函数.轨道不平顺分析程序包括轨道不平顺数据预处理、轨道不平顺谱分布函数计算以及根据实测的车体振动加速度,对轨道不平顺与车体振动加速度进行相干分析、提出对行车运行有不利影响的不平顺波长范围等.研究结果表明:车辆的动力特性与轨道不平顺有密切关系.高低不平顺对车体垂向振动影响显著,轨向不平顺对车体水平振动影响显著,水平不平顺对列车垂向、横向振动均有显著影响.-Matlab software writ
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