APF

实现相关向量机回归算法的MATLAB程序。(MATLAB RVM regression)

说明：  解一般线性方程，非常方便。 和我们老师要求的程序是同步的。(solve function)

Vector quantization using LBG method of center splitting

matlab仿真的，功能是实现相关峰值的提取。能够在低信噪比下得到效果较好的相关峰(matlab simulation, feature extraction is to achieve correlation peak. Able to get better low SNR correlation peak)

说明：  里面涉及很多的混沌数据处理的算法，可以提供给大家使用(There are many chaotic data processing algorithms involved.)

this gives the idea on the calculation of clutter RCS in radar and for analysing the radar antenna gain

脉冲编码调制（PCM，Pulse Code Modulation）是一种将模拟语音信号转换成数字信号的编码方式，从数学上来看，量化过程就是把一个连续幅度值的无限数集合映射成一个离散幅度值的有限数集合，编码就是用一组二进制数来表示这些映射后的有限数。 国际标准化的PCM采用折叠二进制码，符合长途电话质量。根据量化方法的不同，PCM 可分为均匀量化PCM 和对数PCM 两大类，对数PCM中，A律和μ律编码都已被定为国际标准。 本程序实现了A律、μ律以及均匀量化三种PCM，并带有GUI界面，方便使用。可以计算编码后的码率、运行时间以及最小均方误差。(Pulse Code Modulation (PCM, Pulse Code Modulation) is an analog voice signal into digital signal encoding, from the mathematical point of view, the process is to quantify the magnitude of the value of an infinite number of continuous mapping into a discrete set of the limited range of values number set, code is a set of binary digits, said after a limited number of these maps. By folding the International Standardization of PCM binary code, in line with long-distance telephone quality. According to the different quantitative methods, PCM can be divided into uniform quantization PCM PCM and the number of two categories, on the number of PCM, A law and μ-law code have been designated as international standards. A law implemented in this program, μ law and the uniform quantization of three PCM, with a GUI interface, easy to use. Encoded bit rate can be calculated, running time and minimum mean square error. )

Matlab实现高斯建模，算法简单，亲测可用，互相学习！(The realization of Gauss modeling, Matlab algorithm is simple, dear measurement available, learn each other! )

对bpsk信号进行调制，还可以对 qpsk ，16qam信号进行调制(For bpsk signal modulation, can also qpsk, 16qam signal modulation)

说明：  应用BP神经网络预测锂电池健康状态，数据集为NASA锂电池老化实验数据(Prediction of health status of lithium battery by BP neural network)