fdtd1D

Important matlab code for research

该程序用粒子滤波的方法跟踪一个机器人并根据WiFi信号修改位置信息。(Tracking a robot with particle filter by correcting odometric measurements with WiFi signal )

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

预测函数控制，可以跟踪自己设定的值，控制效果很好。(Predictive functional control, you can track their own set of values, the control works well.)

face detection system,for matlab simulink neural network

图像骨架化，处理效果明显，希望能够帮助大家学习。(Image skeleton, treatment effect is obvious, hoping to help you learn.)

自适应滤波器的LMS算法，并观察不同的步长因子对其性能的影响。(LMS adaptive filter algorithm, and observe the different step-size factor on their performance.)

基于maltab的卡尔曼kalman滤波器的实现(Kalman filter based on the realization of maltab)

基于matlab环境下fisher分布算法的实现，利用矩向量法得到的(Matlab environment based on fisher distribution algorithm, obtained by using moment vector)

详细介绍MATLAB中s函数的用法，帮助初学者掌握s函数(S introduction of a detailed MATLAB function usage to help beginners master s function)