double_pendulum1

为提高常规MUSIC算法的分辨率，仿真了求根MUSIC算法。注释详细，适合初学者(In order to improve the resolution of conventional MUSIC algorithm, simulated Root MUSIC algorithm. Detailed notes, suitable for beginners)

人耳识别功能，可以处理人耳图像并且识别出来，是一种生物识别技术(Ear Recognition function that can handle images and identified the human ear, is a biometric technology)

说明：  用BP神经网络的初步级应用实现 电机故障诊断(BP neural network with the initial level of motor fault diagnosis applications)

说明：  bp神经网络对字母的识别，在matlab里运行，并且附带程序和运行后的图像，(The bp neural network recognition of letters, running in the matlab, and the supplementary program and after the operation of the image,)

ANC 在控制滤波器的输出 附加一个与参考信号 不相关的零均值高斯白噪声对次级通道在线建模 (active noise control algorithm with secondary path identification)

another version of the problem of hopfield neuronal problems

通过matlab仿真的单闭环直流调速系统，运用了matlab仿真的各种基本命令(Matlab simulation of single closed-loop DC speed control system, using a basic command of matlab simulation)

说明：  kurtogram是一种四阶谱分析工具，用于检测和表征信号中的非平稳性。可用于轴承的故障诊断(The kurtogram is a fourth-order spectral analysis tool elaborated for detecting and characterising nonstationarities in a signal. It relies on the assertion that each type of transient is associated with an optimal (frequency/frequency resolution) dyad (f ; Df) which maximises the kurtosis. The Fast Kurtogram computes the kurtogram over a grid that finely samples the (f ; Df) plane. Its complexity is on the order of N log N. This is the "plain vanilla" code used in paper: J. Antoni, Fast Computation of the Kurtogram for the Detection of Transient Faults, Mechanical Systems and Signal Processing, Volume 21, Issue 1, January 2007, Pages 108-124.)

自己毕业设计一些收集和做的一些simulink模型及源码，希望对大家有帮助(Graduated from the design of their own collection and do some simulink model and source, I hope all of you help)

本程序比较了LS(最小二乘）和最小均方误差准侧下OFDM信道估计的误码率，给出了LS及MESE实现的源程序，是信道估计初学者的理想参考资料(This procedure compares the LS (least squares) and minimum mean square error of quasi-lateral channel estimation of OFDM bit error rate, given the realization of the LS and the MESE source, channel estimation is the ideal reference for beginners)