CHAP4_3

farrow滤波器测试实例，包括线性和多项式farrow结构比较，幅度相位比较，以及分数延迟可变的farrow结构(farrow filter testing procedures, structures and linear polynomial farrow farrow structure comparison, fractional delay variable farrow structure instance.)

实现一维目标跟踪，通过对匀速直线的跟踪,得到目标轨迹理论曲线,目标轨迹观测曲线以及目标轨迹估计曲线(Achieve one-dimensional tracking, tracking through the uniform linear, the theoretical curves obtained target trajectory, the target trajectory and the target trajectory estimates observed curve curve)

说明：  遗传算主法程序，可以进行函数最优值的求解。(GA can solve the unliner problems.)

对人行走时的微动特性进行了分析，采用时频分析技术展示了人行走的微多普勒效应，与国外相应分析文章结论一致。(Fretting characteristics of people walking were analyzed, using frequency analysis when the micro-Doppler effect shows people walking, consistent with the analysis of the article corresponding foreign conclusions)

软件无线电的滤波器设计的相关程序，内带说明(Filter Design Software Radio)

ID3决策树算法，实现不同条件下数据的分类(ID3 decision tree algorithm, the classification of data under different conditions)

偏最小二乘算法matlab程序，通用的，里面有使用说明(Partial least squares algorithm matlab program, universal, there are instructions)

说明：  matlab的基本例题的知识内容，一些常见的编程都包含，请参考(matlab basic example of the intellectual content of some common programming are included, please refer to)

编写matlab的gui函数进行处理的代码，基本上包括处理里面的最基本处理，比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，QdNXwK，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；增强里面的加噪声，hcTofgR方法，锐化，伪彩色增强；分割里面的灰度阈值法，调试可以运行的。 (Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, QdNXwK , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,hcTofgR method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run. )

对模型预测控制原理的详细讲解，强烈推荐新手如门学习(description for MPC in detail)