pid_prog

用matlab做的指纹提取的源码，具有很好的借鉴作用。(Using matlab to do the fingerprint extracted from source code, with a very good reference.)

LES算法。包含梯度下降法优化算法，并且以图示每一步迭代权值如何更新。(LES algorithms. Contains gradient descent optimization algorithm, and with each iteration illustrates how to update the weights.)

说明：  通过设计GUI界面，实现图像的读取、保存、灰度变化、直方图、多种增强、滤波，图像复原、多种边缘检测、图像放大、缩小等 (Through the design of GUI interfaces to achieve the image to read, save, gray change, histogram, a variety of enhancement, filtering, image restoration, multi-edge detection, image scaling,)

Function to plot uncertainty 3-sigma ellipse in matlab

运用交替投影算法进行波束优化，可控制主瓣宽度及副瓣电平(The alternating projection algorithm is used to optimize the beam, which can control the width of the main lobe and the sidelobe level)

针对传统PID控制器参数整定不易的局限性，将模糊控制与PID相结合，构造了一个模糊自整定PID控制器,(Traditional PID controller parameter tuning is not easy the limitations of the fuzzy control and PID combination structure of a fuzzy self-tuning PID controller)

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

动态系统建模方法介绍，学习怎样实现用MATLAB对非线性动态系统的建模(Simulink MATLAB)

以高斯函数为载波的PPM调制解调，及于理想误码率曲线相比较的误码率曲线(Gaussian function of PPM modulation and demodulation of the carrier, and the desired BER curves compared to BER curves)

信号完整性分析 及新手入门需要考虑的相关事宜(Getting Started signal integrity analysis and related issues to be considered)