matlab-utility-program.zip

说明：  倒立摆，Inverted Pendulum ，是典型的多变量、高阶次 ，非线性、强耦合、自然不稳定系统。倒立摆系统的稳定控制是控制理论中的典型问题 ，在倒立摆的控制过程中能有效反映控制理论中的许多关键问题 ，如非线性问题、鲁棒性问题、随动问题、镇定、跟踪问题等。因此倒立摆系统作为控制理论教学与科研中典型的物理模型 ，常被用来检验新的控制理论和算法的正确性及其在实际应用中的有效性。从 20 世纪 60 年代开始 ，各国的专家学者对倒立摆系统进行了不懈的研究和探索。(Inverted pendulum is a typical multivariable, high order, nonlinear, strongly coupled and naturally unstable system. The stability control of inverted pendulum system is a typical problem in control theory. Many key problems in control theory can be effectively reflected in the control process of inverted pendulum, such as nonlinear problem, robustness problem, servo problem, stabilization, tracking problem, etc. As a typical physical model in the teaching and research of control theory, inverted pendulum system is often used to test the correctness of new control theory and algorithm and its effectiveness in practical application. Since the 1960s, experts and scholars from all over the world have made unremitting research and Exploration on the inverted pendulum system.)

program to detect detection of vehicle on road using learning of haar features

graph 4 series in lines

小波包变换的c程序代码，调试通过，可以使用(Wavelet Packet Transform c program code, debugging through, you can use)

说明：  语音识别关键性技术的MATLAB仿真实现.pdf(Voice recognition key technologies MATLAB simulation. Pdf)

eropyjpm ub90smipynurt b(wcf tweiotn vwoiuwertb e)

在分析结构损伤后，给结构添加噪声，再对结构不同损伤情况下的分析(After the analysis of structural damage to the structure adding noise, and then the structure is different in case of damage)

说明：  此为C++环境下的LDPC编译码的完整的源代码。常用于通信系统的编译码仿真过程。有助于各种项目的完成。(This is the C++ environment LDPC coding and decoding of the complete source code. Commonly used in the encoding and decoding communication system simulation. Contribute to the completion of various projects.)

说明：  对心电信号进行预处理，肌电、工频干扰、相位漂移滤除，为后续分析做准备(The ECG signal is preprocessed, and the EMG, power frequency interference and phase drift are filtered out to prepare for the subsequent analysis)

matlab绘制阵列正六边形。采用角度方法。(Draw a regular hexagon array matlab. Using the angle method.)