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求一个复正弦加白噪声随机过程的信号:
xn=exp(j*pi*n-j*pi)+exp(j*w0*n-j*0.7*pi)+v v(n)为零均值白噪声。S/N=10dB。取P=3,构造4阶的自相关矩阵R的基于MUSIC算法的功率谱估计的MATLAB程序-For a complex sinusoid plus white noise of the signal random process: xn = exp (j* pi* nj* pi)+ exp (j* w0* nj* 0.7* pi)+ v
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mvdr波束形成器MVDR是一种基于最大信干噪比(SINR)准则的自适应波束形成算法。MVDR算法可以自适应的使阵列输出在期望方向上功率最小同时信干噪比最大。将其应用于空间波数谱估计上可以在很大程度上提高分辨率和噪声抑制性能。-MVDR beamformer MVDR is an adaptive beamforming algorithm based on maximum signal to noise ratio (SINR) criterion. The MVDR algorithm ca
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最小二乘回归分析算法,现代信号处理中谱估计在matlab中的使用,利用matlab写成的窄带噪声发生。- Least-squares regression analysis algorithm, Modern signal processing used in the spectral estimation in matlab, Using matlab written narrowband noise occurs.
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独立成分分析算法降低原始数据噪声,ML法能够很好的估计信号的信噪比,包括AHP,因子分析,回归分析,聚类分析。- Independent component analysis algorithm reduces the raw data noise, ML estimation method can be a good signal to noise ratio, Including AHP, factor analysis, regression analysis, cluster analy
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正则模型的分布估计算法,测试函数为ZDT,DTLZ,WFG等,在加噪时,进行优化,有四种噪声水平(RM-MEDA.Regular model distribution estimation algorithm, test function for zdt, dtlz, wfg, etc., when adding noise, optimization, there are four kinds of noise level)
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