资源列表
fft
- matlab fft()函数把所要求函数转换到频域-matlab fft () function required by the function switch to the frequency domain
DataStructureUtil
- 该压缩文件夹内有诸多常用算法和数据结构的c++模板编程实现，可作为您程序开发的辅助工具。具体有栈、队列、优先队列、字典、二叉树、图（包括节点的遍历，连通性判断，3种经典最短路径算法的实现等）。-The compressed folder, there are many commonly used algorithms and data structures c++ Template programming, can be used as your development tool. Specif
SVM_tank
- 一个支持向量机的坦克识别程序，希望大家多提宝贵意见！-A support vector machine tanks identification procedures, hope that we talk too much about the valuable advice!
hangkongdingpiao
- 数据结构课程设计用C实现的航空订票系统，可实现预定票、退票、管理员增减航班等-Data structure course design using C to achieve the air booking system, is scheduled to vote can be achieved, a refund, the administrator, such as changes in flight
BP_xoBox
- 各种BP网络训练样本，如倒立摆，双螺旋线，双积分系统等-A variety of BP network training samples, such as the inverted pendulum, double helix, double-points system, etc.
wlan_matlab_sim802.11A_ulation
- 一份很不错的802.11a的无线局域网仿真源码。-A very good 802.11a wireless LAN emulation source.
Simulnk
- Simulnk动态仿真：详细介绍了在Simulnk环境下的动态仿真方法，简单易行，适合初学者-Simulnk Dynamic Simulation: Simulnk described in detail in the environment of dynamic simulation methods, is simple, suitable for beginners
Ant_Algorithm_C_source_files
- 蚁群算法 C语言源程序 在Windows XP下通过编译visualC++ 6-Ant colony algorithm C language source code in Windows XP through the compiler visualC++ 6
lyfNN
- 李亚非老师的神经网络教程.ppt，挺简单的，按照课件一步步做让你轻松掌握神经网络，适合初学者-Li non-teacher neural network tutorial. Ppt, very simple to do step by step in accordance with the courseware allows you to easily grasp the neural network is suitable for beginners
linear_fitting
- c++的关于线性拟合的程序！ 采用了LU分解的方法来解方程组！-c++ on linear fitting procedure! Using LU decomposition approach to the solution of equations!
algorithm
- 王晓东算法设计与分析源码。vc下编译通过能够运行。且运行效率较高-Xiaodong algorithm design and analysis of source code. under vc compiler be able to run through. Operating efficiency and higher
Untitled2
- 卡尔曼滤波：对于某一分钟我们有两个有关于该房间的温度值：根据经验的预测值（系统的预测值）和温度计的值（测量值），用这两个值结合他们各自的噪声来估算出房间的实际温度值-Kalman Filter: For a minute we have two on the room temperature value: based on experience of predictive value (predictive value system) and the thermometer s value (m