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lms算法matlab仿真程序！希望对大家有帮助(lms algorithm matlab simulation program! We want to help)

可以直接计算信号的四阶累计量，挺不错的小程序，注意信号必须是非高斯信号哟。(Signals can be directly calculated fourth-order cumulant, very good small procedures, the attention signal must be a non-Gaussian signal yo.)

MATLAB programs for Full state observer and reduced order state observer which is used in regulator system has the plant with Ackermann Formula. this code is used in control system engineering .

Instructions for Isomap code.

详细介绍了MATLAB的基础知识，尤其增加了simulink部分，非常适合电子类专业学生(Details the basics of MATLAB, simulink some increase in particular is very suitable for electronic students)

FBP 滤波反投影 自动读取Shepp-Logan头像，并用FBP进行重建对比。亲测可用(The filtered back projection algorithm code)

DCDC变换器模型,采用双闭环控制，电压PI外环控制输出电压，电流PI内环加快相应速度(Model of a DC-DC converter，the completion of the current loop, double closed loop control scheme of voltage outer loop.)

MATLAB科学计算与工程分析源代码源程序7(MATLAB scientific computing and engineering analysis of the source code source 7)

2.4-GHz Bluetooth™ low energy and Proprietary System-on-Chip

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)