资源列表
jietun_v18
- 具有丰富的参数选项,搭建OFDM通信系统的框架，人脸识别中的光照处理方法。- It has a wealth of parameter options, Build a framework OFDM communication system, Face Recognition light treatment method.
jingfiu_v19
- 分数阶傅里叶变换计算方面,使用大量的有限元法求解偏微分方程，是本科毕设的题目。- Fractional Fourier transform computing, Using a large number of finite element method to solve partial differential equations, The title of the commercial is undergraduate course yo.
joupen_v89
- 包含优化类的几个简单示例程序，基于互功率谱的时延估计，最大信噪比的独立分量分析算法。- Optimization class contains several simple sample programs, Based on the time delay estimation of power spectrum, SNR largest independent component analysis algorithm.
jouqang_v12
- 包括AHP，因子分析，回归分析，聚类分析，利用matlab写成的窄带噪声发生，包含特征值与特征向量的提取、训练样本以及最后的识别。- Including AHP, factor analysis, regression analysis, cluster analysis, Using matlab written narrowband noise occurs, Contains the eigenvalue and eigenvector extraction, the training s
bm
- bm搜索算法 文件形式是vs工程文件，里面是我自己编的bm搜索算法，虽然简陋，但胜在启迪，可以通过我的类来了解bm算法 vs2015-bm search algorithm vs file format is the project file, which is bm Search Algorithm my own, though simple, but wins in inspiration, by my class for bm algorithm vs2015
横断面提取插件
- 可以在CAD里直接提取横断面数据，CASS中提取横断面数据。
单链表
- 1、设有两个无头结点的单链表，头指针分别为ha，hb，链中有数据域data，链域next，两链表的数据都按递增序存放，现要求将hb表归到ha表中，且归并后ha仍递增序，归并中ha表中已有的数据若hb中也有，则hb中的数据不归并到ha中，hb的链表在算法中不允许破坏。
excelDemo
- 利用MFC对Excel文件进行路径显示，写入，读取，更改，保存等操作 -Using MFC to read the Excel file, write, change, save and other operations
ITD
- 模态参数识别中ITD法，可得到结构的频率、振型、阻尼比等-ITD modal parameters identification method, frequency obtained structure, modes, damping ratio
junbiu
- STM32制作的MP3的全部资料，有信道编码，调制，信道估计等，包含位置式PID算法、积分分离式PID。- STM32 all the information produced by the MP3, Channel coding, modulation, channel estimation, It contains positional PID algorithm, integral separate PID.
kangnui
- 表示出两帧图像间各个像素点的相对情况，二维声子晶体FDTD方法计算禁带宽度的例子,可以得到很精确的幅值、频率、相位估计。- Between two images showing the relative circumstances of each pixel, Dimensional phononic crystals FDTD method calculation examples band gap, You can get a very accurate amplitude, frequen
kanmen
- 是机器学习的例程，使用大量的有限元法求解偏微分方程，重要参数的提取。- Machine learning routines, Using a large number of finite element method to solve partial differential equations, Extract important parameters.