ALP41_API_Matlab-master

支持向量机的Matlab实现，支持多分类，据有GGUI操作界面，简单易懂易懂，其中包含输入输出数据。 (Support multi-classification support vector machine, the Matlab implementation, according to GGUI operation interface, easy to understand and easy to understand, which contains the input and output data.)

Dijkstra routing algorithm example

介绍一种改进传统遗传算法的新方法，通过调节交叉概率和变异概率(Introduction of a new genetic algorithm to improve the traditional method, by adjusting the crossover probability and mutation probability)

scm modulation technique

A Comparison of Soft-Switched DC-to-DC Converters for Electrolyzer Application

一个LMS算法用于分类的matlab程序，程序中做了详细的注释和说明，有助于学习和掌握这一经典算法(LMS algorithm for classification of a matlab program, the program in detail in the notes and instructions to help learn and master the classical algorithm)

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

用矩形窗设计了一个FIR线性相位低通数字滤波器。截止频率0.5π，阶数为21阶。求出了系统函数并画出了幅频响应。(A rectangular window design with linear phase FIR low-pass digital filter. Cutoff frequency 0.5π, the order of 21 bands. Find the system function and plotted the amplitude-frequency response.)

关于混合储能的充放电过程的simulink仿真，能实现稳定输出电压的方法(About charging and discharging process of mixing the energy storage simulink simulation, to achieve a stable output voltage method)

说明：  这里实现的卷积码译码器可实现（n,1,K）的卷积译码，即一个输入码元，n个输出码元，编码器的约束长度为K，采用函数的默认值将实现（2,1,7）的卷积译码。译码方法为维特比硬判决译码，且译码开始状态假定为全零状态。(Here to realize convolutional code decoder can realize (n, 1, K) convolutional decoding, namely an input element, n output element, encoder constraint length is K, takes the default value of function, achieve the convolutional decoding,1,7 (2). Decoding method for decoding victor than hard decisions, and decoding the start state assumed to zero state.)