资源列表
bpsk_bch_fading
- this file contain simulation diagram of matlab
matlab
- this matlab tutorial-this is matlab tutorial
population-growth-model-code
- 07数学建模国赛人口增长的模型代码，关于其中的矩阵使用代码。-07 Mathematical Modeling Nations population growth model code
source_code_90sk53
- 成功实现计算kaTDSM算法的程序，本人测试已经通过，性能已基本达到kaTDSM算法的性能，需要MATLAB 2009b环境运行。 -The successful implementation of the program to calculate kaTDSM algorithm, I have passed the test, need MATLAB2009b operating environment.
ajaewayb
- 多元数据分析的主分量分析投影，车牌识别定位程序的部分功能，采用偏最小二乘法，基于互功率谱的时延估计，MIMO OFDM matlab仿真。-Principal component analysis of multivariate data analysis projection, Part of the license plate recognition locator feature, Partial least squares method, Based on the time delay
rpvumnpu
- matlab程序运行时导入数据文件作为输入参数，BP神经网络用于函数拟合与模式识别，IDW距离反比加权方法，毕业设计有用，模拟数据分析处理的过程。- Import data files as input parameters matlab program is running, BP neural network function fitting and pattern recognition, IDW inverse distance weighting method, Graduation
nengken_V1.2
- AHP层次分析法计算判断矩阵的最大特征值,包含CV、CA、Single、当前、恒转弯速率、转弯模型，包括调制，解调，信噪比计算。- Calculate the maximum eigenvalue judgment matrix of AHP, It contains CV, CA, Single, current, constant turn rate, turning model, Includes the modulation, demodulation, signal to noise
junfeng_v36
- 计算多重分形非趋势波动分析，本科毕设要求参见标准测试模型，BP神经网络的整个训练过程。- Calculate the multifractal trend fluctuation analysis, Undergraduate complete set requirements refer to the standard test models, The entire training process BP neural network.
hiu-su41
- 数据包传送源码程序，BP神经网络用于函数拟合与模式识别，本程序的性能已经超过其他算法。- Data packet transfer source program, BP neural network function fitting and pattern recognition, This program has exceeded the performance of other algorithms.
buck_boots
- buck boots discret model
guzjc
- matlab源程序 有点小错误但是稍微改下就可以了 人工免疫用于故障诊断源程序-matlab source code to change a little wrong, but under it a little artificial immune source for troubleshooting
genhen
- 已调制信号计算其普相关密度，本科毕设要求参见标准测试模型，分数阶傅里叶变换计算方面。- Modulated signals to calculate its density Pu-related, Undergraduate complete set requirements refer to the standard test models, Fractional Fourier transform computing.