shuangxianxing

IEEE 802.3 - 2012 Section Six IEEE Standard for Ethernet

对循环平稳信号进行处理的工具箱，适用MATLAB。()

码分多址(CDMA)技术作为第三代移动通信系统的核心技术，具有容量大、抗干扰能力强等优点。然而,传统的CDMA系统属于窄带扩频系统,它的数据速率比较低,不能胜任新一代移动通信系统 （beyond 3G）高速数据通信的需要。而多载波传输技术－正交频分复用（OFDM），作为后三代移动通信的核心技术，则具有高数据速率传输的特点。(Code Division Multiple Access (CDMA) technology as the third generation mobile communication system' s core technology, high capacity, anti-interference ability and so on. However, the traditional narrow-band CDMA system is spread spectrum system, and its relatively low data rate, can not do next-generation mobile communication systems (beyond 3G) high speed data communication needs. The multi-carrier transmission technology- orthogonal frequency division multiplexing (OFDM), after three generations of mobile communications as a core technology, the high data rate transmission characteristics.)

main_IS95_forward.m 此函数用于IS-95前向链路系统的仿真，包括卷积编译码、扩频调制，匹配滤波，RAKE接收等相关通信模块。 仿真环境: 加性高斯白噪声信道. 数据速率 = 9600 KBps (main_IS95_forward.m This function is used to forward link IS-95 system simulation, including the convolution encoding and decoding, spread spectrum modulation, matched filter, RAKE receiver, and other related communication module. Simulation environment: additive white Gaussian noise channel. Data rate = 9600 KBps)

matlaba的图像匹配，进行图像的处理。(matlaba image matching, image processing.)

用来实现瑞丽分布的MATLAB程序，非常好用的，可以借鉴一下(MATLAB is used to achieve the Ruili distribution program, very easy to use, and can learn from what)

本代码是光子晶体光纤切面的光强分布仿真程序，对搞光子晶体的同行很有帮助。(the code is photonic crystal fiber plane, the intensity distribution simulation program to engage in peer photonic crystal helpful.)

MatLab工程数学应用 积分，微分，导数，传递函数，拉式变换，Z-变换等等(matlab )

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.)

A book on computational intelligence