APC

matlab重要的学习资料 初学者的好帮手 程序代码非常重要,在滤波器设计方面有参考价值(matlab important information for beginners to learn a good helper program code is very important in the design of a reference filter)

用MATLAB来产生C/A码的代码，很好用的(uesed to generate C/A code )

MATLAB 神经网络用于英文字母图像和数字的识别源程序(MATLAB neural network for images and the number of letters of the alphabet to identify the source)

this file is simulink of self inverter in matlab software

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

实用的MATLAB 实用教程 适合初学者(matlab)

数字载波调制系统的matlab仿真程序，通过测试无误(digital carrier modulation system Matlab simulation, testing and unmistakably)

The MATLAB DMTTEQ Toolbox is a collection of MATLAB functions to design and test the following time domain equalizer design methods

最小均方误差信噪比估计的matlab仿真(MMSE SNR estimation matlab simulation)

该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型(Matlab code of the file support vector machine model parameters for particle swarm optimization support vector machine model for cost control, support vector machine model for dealing with imbalanced data)