part1

调用line（）函数与plot（）函数，运用for循环命令。 线宽5，线条颜色为黑色，填充颜色与线条颜色不同。 坐标轴取等长刻度，标题：正五角星，x轴、y轴加上标注。(Calling line () function with the plot () function, use a for loop command. 5 width, line color is black, filled with color and line color is different. Take the long axis scale, etc., Title: Positive pentagram, x-axis, y-axis plus mark.)

In signal processing, a window function (also known as an apodization function or tapering function[1]) is a mathematical function that is zero-valued outside of some chosen interval. For instance, a function that is constant inside the interval and zero elsewhere is called a rectangular window, which describes the shape of its graphical representation. When another function or waveform/data-sequence is multiplied by a window function, the product is also zero-valued outside the interval: all that is left is the part where they overlap, the view through the window .

给出图形，以字符拼该图形，并生成文本文件(Character graphics)

对有光照影响的图像实行同态滤波，滤除光照影响(The implementation of the homomorphic filtering, filter out light effects on the image)

DOA估计算法，包括music算法，卡尔曼滤波算法，空间平滑算法，改进的空间平滑算法，自适应梯度算法。(DOA estimation algorithms, including music algorithm, Kalman filtering algorithm, spatial smoothing algorithm, improved spatial smoothing algorithm, adaptive gradient algorithm.)

对目标轨迹数据加噪声，设置雷达经纬度，提取雷达可视部分(Add noise to target track data, set radar latitude and longitude, extract radar visible part)

说明：  卡尔曼滤波演示，较为简单的卡尔曼滤波演示simulink仿真(Demonstration of Kalman filte)

Matlab skin detector。运用高斯混合模型训练的到人的皮肤颜色分布。用于皮肤和人脸检测。(A collection of Matlab scripts )

a design methodology is introduced that blends the classical PID and the fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller has been achieved. Basically, in this design methodology, the classical PID and fuzzy controller have been combined by a blending mechanism that depends on a certain function of actuating error. Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision upon the priority of the two controller parts namely, the classical PID and the fuzzy constituents. The simulations done on various processes using the new hybrid fuzzy PID controller provides ‘better’ system responses in terms of transient and steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications. The controller parameters are all tuned by the aid of genetic search algorithm.

基于EMD的信号分解，在matlab中实现，信号分解，谱变换(EMD-based signal decomposition is implemented in matlab, signal decomposition, spectral transformation)