troper

MATLAB工具箱详细介绍，做开发时必备的参考资料(matlab toolbox)

基于MATLAB 的DTMF 信号的生成与解码(Based on the MATLAB DTMF signal generation and decoding)

线性分组码的简单实现, 包括生成矩阵,最小码字,二-十进制转换等功能(Simple linear block code to achieve, including the generator matrix, the smallest code word, two- decimal conversion function)

利用联合对角化分数低阶空时矩阵进行冲击噪声环境下的二维DOA估计(Use of joint diagonalization fractional lower order two-dimensional space-time matrix DOA estimation under impulsive noise environments)

此代码描述的是正弦函数的频谱图,其采样点不同,频谱图的差别(This code is a sine function described in the frequency spectrum, the sampling point is different from the difference spectrum)

CDMA simulation using matlab

KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现(KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab)

说明：  模拟干涉图像的程序，matlab编写，很实用，对正在学习的朋友有帮助。(Interference image of the process simulation, matlab written, very practical, and helpful friends are learning.)

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)

用于三相电压源逆变器的预测电流控制仿真模型(Current Predictive Control of a Three-Phase Inverter)