robot1

是自适应阈值的分割，主要对图像用matlab进行分割图像，确定图像想要的东西(Adaptive segmentation threshold, the main image to image segmentation using matlab, determine what image you want)

cpp-primer-code预编码，仅供参考(cpp-primer-code pre-coding, for reference only)

1. 设计在数组中查找数据模板函数 函数名: SeqSearch 参数名及顺序: 数组:list, 数据:key, 个数:n 返回: 成功:数据在数中的下标,失败: -1(1 designed to find the data in the array template function function name: SeqSearch parameter names and order: Array: list, data: key, number: n Returns: Success: Data on the number of the next standard, failed:-1)

用matlab实现的pca算法，用于将维，适用于各种种试验，如人脸识别程序源码 (Achieved using matlab pca algorithm for peacekeeping, applicable to various types of tests, such as face recognition program source code)

相位编码脉冲压缩雷达的多普勒补偿偿算法，实现对信号的补充可直接使用。 (Phase-coded pulse compression radar, Doppler compensation compensation algorithm, to supplement the signal can be used directly.)

Matlab 实用程序百例，对初学者很有用，推荐下载。(Matlab utility, one hundred cases, very useful for beginners, recommended download.)

matlab与vc混和编成(Matlab and the mixture into vc)

c++通用技能编码能力提升：组件安装管理程序，已测试。(c++ generic skills coding capacity building: Component Installation Manager has been tested.)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

rookit源码 仅供参考学习