yuyinduandianjiance

用MATLAB编写的单目标跟踪算法程序，采用了递归式算法，包括极大似然然估计，卡尔曼滤波，扩展卡尔曼滤波和无迹卡尔曼滤波，带有注释，易于理解。(Written with the MATLAB program single-target tracking algorithm, using recursive algorithms, including maximum likelihood estimation, Kalman filtering, extended Kalman filter and unscented Kalman filter, with comments, easy to understand.)

OFDM SIMULATION USING MATLAB

通过fir1设计FIR滤波器，fir2设计任意频率响应的滤波器，采用卷积计算信号通过系统后响应（还原），采用fftfilt计算信号通过系统后响应，一个长序列和一个短序列的卷积。(Fir1 through FIR filter design, fir2 design the frequency response of any filter, the use of convolution calculation of the signal through the system to respond to (restore), calculated using fftfilt signal through the system to respond to, a long sequence and a short sequence of convolution.)

说明：  这是一篇硕士论文，研究了倒立摆建模，稳定控制，和起摆控制，采用Bang-bang控制起摆，并给出了明确的仿真结果。(This is a master' s thesis studied the inverted pendulum modeling, stability control and swing control, the use of Bang-bang control of swing, and gives a clear simulation results.)

说明：  project for phone dialing

随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度(with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts)

扩展卡尔曼滤波，预测目标无人机实时位置信息，掌握飞行动态(Extended Kalman filtering, real-time location information to predict a target drone, flight dynamics control)

matlab基础及其应用教程电子书，适合MATLAB的初学者使用！(matlab tutorial e-book and its application)

高版本matlab的NC插件，7.0以后版本使用。无需安装。(High version of Matlab NC plug, 7.0 or later. Requires no installation.)

用于模拟通信系统中不同统计信道场景下的服从不同分布的噪声。(Communication systems used to simulate different scenarios of statistical channel obey different distributions of noise.)