jisuanxiangying

遗传算法可用于优化计算，C++，lingo都可用(Genetic algorithms can be used for optimization, C++, lingo are available)

music matlab程序，c语言实现的一个小星星的音乐(music matlab procedures, c language a little star music)

googleMap截取，功能异常的强大，全自动抓取，自动聘图！(GoogleMap interception, dysfunction powerful, fully automated crawler to automatically engage Chart!)

C＋＋与MATLAB接口的实例 对于学习C++和MATLAB 很有帮助 请珍惜(C and MATLAB interface examples for learning C++ And MATLAB helpful please Value)

这是MATLAB的控制工具箱。由薛定宇教师编写。这个工具箱用来实现的PID最优程序！(This is the control MATLAB toolbox. Xue prepared by the teachers. This toolbox used to achieve the optimum PID process!)

随着计算机技术的迅速发展和越来越广泛深入地应用于国民经济和社会生活的各个方面，随着 软件系统的规模和复杂性与日俱增，软件的生产成本和软件中存在的缺陷和故障造成的各类损失也 大大增加，甚至会带来灾难性的后果。软件质量问题已成为所有使用软件和开发软件的人关注的焦 点。由于软件是人脑的高度智力化的体现和产品这一特殊性，不同于其他科技和生产领域，因此软件与生俱来就有可能存在着缺陷。(With the rapid development of computer technology and the more extensively used in the national economy and social life in all its aspects, with the growing size and complexity of software systems, software production costs and software defects and faults caused various types of losses also increased significantly, even catastrophic consequences. Software quality has become the focus of all those who use the software and software development concern. Because the software is highly intellectual expression and product of the special nature of the human brain, unlike other areas of technology and production, so the software may be born with a defect exists.)

卡尔曼滤波Kalman filter matlab GUI method M program 的matlab GUI实现方法 M程序 (Kalman filter matlab GUI method M program )

一个三维FDTD的计算程序，比较有用，适合初学者。(A three-dimensional FDTD calculation procedures, more useful for beginners.)

说明：  关于MATLAB能量检测频谱感知算法的研究代码(MATLAB energy detection on spectrum sensing algorithm code)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)