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ARPUFENXIYUZISHIYINGZHENGQIANGQI
- 构造一组输入为白噪声加三个频率非常接近的正弦波，其信噪比为10dB，观测长度为256。试分别用普通AR谱估计和采用功率噪声抵消算法的AR谱估计估计这组信号的频率，并比较结果。-constructed a group of white noise input plus three very close to the frequency sine wave, the signal-to-noise ratio of 10dB. Observing length of 256. Were used t
esprit.rar
- 用esprit算法估计复正弦加白噪声的信号频率，f给出正弦信号的频率估计值,Esprit algorithm with an estimated increase in complex white noise sinusoidal signal frequency, f the frequency of sinusoidal signal given the estimated value of
music_single_sin
- 白噪声中单个正弦信号的频率检测与估计 产生，其中是一高斯白噪声，其均值为0，方差为1。用MUSIC方法估计观测数据中正弦波的频率，并给出白噪声方差()un2uσ 与复正弦波的振幅A的估计值。-A single frequency detection and estimation of the sinusoidal signal in white noise, which is a Gaussian white noise with mean 0 and variance 1. MUSIC m
glrt
- 广义似然比函数，对未知正弦信号的幅度、频率、时间延迟、相位进行估计-Generalized likelihood ratio function of the unknown sinusoidal signal amplitude, frequency, time delay, phase estimation
power-spectrum-estimation
- 分别使用MVDR、Root-Music和ESPRIT三种方法对信号频率估计进行仿真实验，其中噪声为复正弦加性白噪声，给出正弦信号频率的估计值。-Using MVDR, Root- Music and ESPRIT three methods to estimate the signal frequency simulation experiment respectively, which is suitable for complex sinusoidal additive white nois
chap3_3_20_1_2
- 给出复正弦加白噪声随机过程u(n),使用ROOT-music方法进行信号频率估计的仿真实验-Given the complex sinusoidal added white noise random process u (n), use the ROOT- music method is used to estimate signal frequency simulation experiment
freq
- 使用最小二乘法、最大似然法、奇异值分解法估计信号中正弦分量频率的python代码。可用于频率追踪。- Using a least squares method, maximum likelihood method, singular value decomposition method to estimate the signal frequency sinusoidal component python code. It can be used for frequency tracking