用乘同余法产生随机数

进行人脸检测；用matlab编程；Rapid Object Detection Using a Boosted Cascade of Simple Features(boost_code Rapid Object Detection Using a Boosted Cascade of Simple Features)

本程序实现了中继协作时候对中继选择时候根据信噪比对中继的排序选择工作(implemente the relay system s order of the relay)

基于蒙特卡洛仿真法的起伏数字信号的仿真 瑞丽衰落 原创(Monte Carlo simulation method based on the ups and downs of the digital signal the decline of the original simulation Ruili)

说明：  基于matlab的完整的卡尔曼滤波程序，实测有效(Kalman filter program)

说明：  基于LMS算法的自适应波束形成算法，可以抑制宽带噪声，并实现目标方位的估计。(The adaptive beamforming algorithm based on LMS algorithm can suppress the wideband noise and realize the target azimuth estimation.)

优化程序，包括最短路径，最小生成树等。具体说明可以参考content文件 (optimization procedures, including the shortest path, minimum spanning tree, and so on. Specify reference document content)

数字水印matlab程序，只是简单的svd跟最简单的置乱方法Arnold的应用。没有用到小波算法。上传的dwt_svd_GUI.rar是完整的数字水印算法，用的是混沌加密。(Matlab digital watermarking process, with the svd simply the easiest way to Arnold scrambling applications. Wavelet algorithm is not used. From the dwt_svd_GUI.rar is a complete digital watermarking algorithm, using a chaotic encryption.)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

this code finds out the array factor of ULA

除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。(In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, particle swarm optimization (pso), artificial fish algorithm, and so on.)