rscore

三节点板多边界条件自由振动和静力分析，能够自动生成模型。(Three-node shell boundary conditions free vibration and static analysis, can automatically generate the model.)

一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，采用（7，4）循环码对信源做信道编码，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，再对信号进行信道解码，画出采用信道编码技术和不采用信道编码技术的误比特率图。(First, this program uses 16QAM modulation mode, for a string of two binary source is modulated, using (7,4) cyclic code of the source-channel coding to do with a raised cosine roll-off function for base-band modulation, and then transferred to a high frequency channel in the channel by adding Gaussian white noise, the use of matched filter demodulation, demodulation constellation plot, using the minimum Euclidean distance decoding decision, and then right channel signals, decoding, channel coding techniques used to draw and non- channel coding techniques using bit error rate plans.)

说明：  基于matlab GUI的数字滤波器源程序(The digital filter based on source code matlab GUI)

辛普森二维积分的数值计算方法,运用c++程序进行编写 (numberical analysis)

扩频技术和cmda技术结合相结合进行通信系统的仿真(Cmda spread spectrum technology and communication technologies combining system simulation)

McGraw Hill MATLAB Demystified Apr 2007

针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)

支持向量机的MATLAB实现，能自动完成数据的分类功能。(MATLAB support vector machines to achieve, can auto-complete the classification of functional data.)

Electromagnetic Band Gap Structures in Antenna Engineering

介绍MATLAB中灰度共生矩阵的文档，刚入门的可以拿去看看！(Documents introduced in MATLAB GLCM, just getting started can take it and see!)