QPSK

Recogition faces programme with eucleadean distance

倒摆系统演示,倒摆闭环系统在整体上可以达到较为理想的动态性能。(inverted pendulum demonstration, inverted pendulum in the overall closed-loop system can be quite satisfactory dynamic performance.)

有限元平面刚架结构的分析 matlab程序(Finite element analysis of plane frame structures matlab program)

SAR Imaging, Wavelet Processing , using LFM signal without Fast Fourier Transform

基于matlab的类似于iphone上tom猫(Based on the MATLAB is similar to iPhone tom cat )

基本蜂群程序，实测可用~~~~~~~~~~~~~~~~~~~~~~~~~~~(basic ABC)

通过蚂蚁的随机移动而提出的一种随机游走算法(A random walk algorithm based on the random movement of ants is proposed)

有PMUSIC 校正前和校正后的比较，这个有中文注释，看得明白，正确率可以达到98％。( A relatively before correction and after correction PMUSIC, The Chinese have a comment, understand it, Accuracy can reach 98 .)

说明：  Modify the Matlab Gauss Elimination routine given in lectures so that it (a) performs implicit complete pivoting, and (b) handles m right hand sides at once by performing an LU decomposition of the matrix A first and then doing forward substitution and back substitution (hence not modifying the right hand side as the elimination is perfomed). Test your program and then run it on the system AX = B(Modify the Matlab Gauss Elimination routine given in lectures so that it (a) performs implicit complete pivoting, and (b) handles m right hand sides at once by performing an LU decomposition of the matrix A first and then doing forward substitution and back substitution ( hence not modifying the right hand side as the elimination is perfomed). Test your program and then run it on the system AX = B)

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)