ch64

RELLAX算法，特征提取，目标识别，很好的资料！(RELLAX algorithm, feature extraction, object recognition, very good information!)

包括如下源码：2.3-元胞数组的使用方法、2.4-结构数组的使用方法、2.5-矩阵的使用方法、2.6-字符串的操作方法、2.7-判断函数的使用方法(Including the following source code: the use of the 2.3- cell array, the use of the 2.4- structure array, the use of the 2.5- matrix, the operation method of the 2.6- string, and the use of the 2.7- judgment function)

sql学习必备材料，讲解通俗易懂，很有层次，内容丰富(This book is SQL learning materials and understanding very easy and very hierarchical and riching in content)

(1) 设计一个整数的补码类，有利于任意长整数的补码表示 及其运算； (2) 整数以十进制输入，对输入的数据要进行合法性检查； (3) 实现十进制数的补码转换、补码输出（输出格式为：每 8bit 一组，各组间以空格隔开）。 ((1) u8BBE u8BA1 u4E00 u4E2 u4E2 u657 u6570 u7654 u8865 u7801 u7C7B uFF0C u6709 u5229 u4E8E u4EFB u610F u657 U793A u53A u5136 u8F3 u8F3 u8F0 U5408 u6602 u03123 u03121 u8R03 U8F93 u51FA u683C u5F0F u4E3A uFF1A u6BCF 8bit u4E00 u7EC4 uFF0C u5404 u7EC4 u952F0 u4EE5 u7A7A u683C u9694 u5F00 uFF09 u3002)

C++.Visual.Studio.2008教材(C++.Visual.Studio.2008 textbooks)

说明：  《matlab2020a完全自学一本通》书中源代码("Matlab 2020A complete self-study of a general" book source code)

阵列信号处理的理论与应用书籍代码：MATLAB程序 1：MUSIC 算法MATLAB程序 2：ESPRIT 算法MATLAB程序 3：Root-MUSIC算法MATLAB程序 4：面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序 5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(Theory and Application of Array Signal Processing Book Code: MATLAB Program 1: MUSIC algorithm MATLAB program 2: ESPRIT algorithm MATLAB program 3: Root-MUSIC algorithm MATLAB program 4: Two-dimensional Angle Estimation Unitary-ESPRIT Algorithm MATLAB Program 5: space smoothing MUSIC algorithm MATLAB program 6: angle and delay joint estimation (JADE) algorithm MATLAB program 7: Propagation operator DOA estimation algorithm MATLAB program 8: Two- Dimensional DOA Estimation of MATLAB for L- Type Array Based on Augmented Matrix Bundles)

说明：  在线下载更新程序-----------------

说明：  随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法 本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)

平均电流控制的PFC，模拟，复频域传函实现(Average current control PFC)