chepaishibie

说明：  计算平面九桁架的时域动力响应，运用中心差分方法，状态空间法(Nine of plane truss dynamic response in time domain using the central difference method, state space method)

说明：  基于长记性特征的时间序列预测模型，很好用，准确度优于普通神经网络，我自己一直在用(Characteristics based on long memory time series forecasting model, the good, the accuracy is better than an ordinary neural network, I have been using)

无源定位各种体制与方法的总结和概述，并做了详细的对比，最后给出源代码及结论(Analyses of the geolocation accuracy that can be obtained from shipborne sensors by use of time difference of arrival (TDOA), scanphase, and angle of arrival (AOA) measurements )

该程序用Dijkstra算法寻找最小路径。输入为起点，终点，邻接矩阵。输出为最短距离，最短距离对应的路程。代码有详细注释说明。(The procedure used Dijkstra algorithm to find the minimum path. Enter as a starting point, end point adjacency matrix. The output is the shortest distance, shortest distance corresponds to the distance. Codes are detailed explanatory notes.)

有相位跳变的单频信号，信号时域波形的刻画和FFT程序。注释完整，可读性高。(a single-frequency signal with phase jump and its FFT is described in this program and the explain is detailed, easy to read.)

Economic load dispatch in pattern recognition with losses

this m-file describe a power amplifier model.it is useful to model a power amplifier which has am-am and am-pm effects.

采用热核构造权重，包含优化类的几个简单示例程序，可以得到很精确的幅值、频率、相位估计，MIMO OFDM matlab仿真,基于分段非线性权重值的Pso算法，对HARQ系统的吞吐量分析。(Thermonuclear using weighting factors Optimization class contains several simple sample programs, You can get a very accurate amplitude, frequency, phase estimation, MIMO OFDM matlab simulation, Based on piecewise nonlinear weight value Pso algorithm, HARQ throughput analysis of the system.)

MATLAB经典周期图法功率谱估计对信号进行功率谱估计。(MATLAB classical periodogram power spectrum estimate of the signal power spectrum estimation.)

基于SVR的线性系统逆模型辨识建模及校验的仿真程序，由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同。(Linear inverse model identification modeling and verification system simulation program based on SVR identification signal are random signal, not the value of the fixed signal, so the program each time you run the results are likely to differ.)