资源列表
zhouxinguiji
- MATLAB编程，题目如下 x 6*sin(60*pi*t)+8*sin(120*pi*t+pi/6) y 8*sin(60*pi*t+pi/2)+3*sin(120*pi*t+pi/4) -Matlab programming, the following topics x 6*sin(60*pi*t)+8*sin(120*pi*t+pi/6) y 8*sin(60*pi*t+pi/2)+3*sin(120*pi*t+pi/4)
Codigos-del-Curso---Deteccion-de-Objetos
- Codes .M object detection with matlab. Create the list of detections D for the images referenced in the G list Tickets Detector File contains the address of the detector file, Xml extension G List of rectangles of objects that are really in
Matlab-composite
- Matlab解复合材料层合板的问题.是matlab源代码-Matlab solution of composite laminated plate problem is the matlab source code
main
- 任意长度格雷码的生成，采用递归的方式。欢迎下载。-Arbitrary length of gray code generated, using recursive way. Welcome to download.
cva3
- 基于CVA+som的故障诊断,0为simple SOM，1为PCA+SOM, 2为CCA+SOM(CCA与PLS算法相同),3为LDA+SOM, -Based on CVA+ som fault diagnosis, 0 for the simple SOM, 1 for the PCA+ SOM, 2 for the CCA+ SOM (CCA and PLS algorithm the same), 3 for the LDA+ SOM,
PF_2_bat
- butterworth filter 2nd order. Matlab code. Simply usefull.
nlse_manakov
- NLSE Solver is to simulate light propagation in fiber-optic communication with WDM
gangbun
- 阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
gaoban_V2.5
- 是路径规划的实用方法，计算晶粒的生长，入门级别程序,自己编的5种调制信号。- Is a practical method of path planning, Calculation of growth, entry-level program grains Own five modulation signal.
60074
- it is based on bit error rate analysis of a communication channel using hamming code .Hamming code is a error correcting and detection code which is use to eliminate the errors the rcieved bits .-it is based on bit error rate analysis of a communicat
linked-list
- 链表实现，含创建,打印,两个链表的融合等-Linked List
PNN-faultdiagnosis
- 对于大数据学习的同学，本案例具有·非常好的引领作用，特别适合初学者！非常实用！-For large data learning students, this case has a very good leading role, especially for beginners! Very useful!