fastdfa

Given the refractive index of the external network (semi-infinite Bragg) and the frequency in units of frequency Bragg, is the graph of the transmittance as a function of incident angle. Fundamentals of Photonics-Second Edition

本程序实现了中继系统中信号的qpsk解调工作(implement the qpsk s decoding)

基于云模型的PID控制算法，可以大大提高控制效率(PID control algorithm based on cloud model, can greatly improve control efficiency)

matlab实现的PSO算法，主要功能是模拟粒子群算法，经过测试可以运行。(matlab implementation of the PSO algorithm, the main function is to simulate particle swarm algorithm is tested to run.)

小车位移的模拟仿真实现,分为带PID和不带PID的仿真,并用GUI予以直观表达,平台matlab6.5,欢迎大家下载交流(Vehicle simulation displacement achieved with PID and is divided into non-PID of the simulation, and be intuitive GUI expression platform matlab6.5, welcome to download the exchange of)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

小波模极大值法去噪的matlab源代码，内附demo例子(Wavelet Mod Denoising matlab SourceCode)

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.

Using GUI........................

形心法测距测速，给出了在没有噪声和有噪声两种情况下用形心法测出的数据，还有关键图形(Loading range speed, without noise and noise are given in both cases using fractal method to measure the data, and key graphics)