资源列表
DSB_and_FFT
- 双边带调制及频谱仪的设置,如何在高频、低频中观测频谱特性-Modulation and spectrum analyzer with a bilateral setting, how high-frequency, low-frequency spectrum observed
MATLAB_examples
- MATLAB从入门到精通_配套光盘.rar MATLAB从入门到精通_配套光盘.rar -matlab matlab
neural-networks-design-
- 完整版的对人工神经网络设计进行介绍的书籍,书中较系统形象的介绍了神经网络的设计方法。-Full version of the design of artificial neural networks are introduced books, the book introduces the image of a more systematic design method of neural networks.
0
- 基于kpca以及核流形发的程序,应用于故障检测与故障诊断,还有故障识别,识别的效果很好,对象为cstr,程序简单-Based on kpca and nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is
games
- it s a good games for many people. goodit s a good games for many people. it s a good games for many people.
fsdhejijidhouyufashe
- 低频信号先进行放大,再调制解调,设计发射机和接收机-Low-frequency signal is first amplified, and then modulation and demodulation, the transmitter and receiver design
tttt
- 16字节字符串压缩成12字节字符串算法,有压缩和解压的算法-16-byte string into a 12-byte string compression algorithm, compression and decompression algorithms
Pattern-Recognition
- 模式识别与智能计算的一个基于matlab运行的识别分类软件,聚集了模糊聚类,SVM,神经网络等各种流行的分类算法于一体,便于比较测试数据在不同分类算法下的分类效果-Pattern Recognition and Intelligent Identification and Classification of the calculation to run a matlab software, gathered a variety of popular fuzzy clustering, SVM,
spectral-method-MATLAB
- 本书详细阐述了谱方法基本原理、重要技巧,同时着重介绍了它的Matlab实现。结合不同的边界条件(周期性边界条件,第 一、二、三类边界条件),基本涵盖了所有常见的微分问题。每个实例的提出均是为了说明某一技术的利用方法或某一类问题的通用解法。使读者既明白谱方法的来龙去脉,又真正获得了实际的Matlab编程能力。- This book describes in detail the basic principles of the spectral method, important techni
程序
- 这个matlab程序主要可以用于脑电数据处理、肌电数据处理(This matlab program can be used to calculate the significant area of the collected signals and can be used for EEG data processing and EMG data processing.)
cplex
- cplex软件初学者入门,opl语言学习。(Basic knowledge about cplex software and OPL.)
gene
- 主要是基因识别的 matlab程序 一种全新的算法-Gene identification is mainly a new algorithm matlab program