搜索资源列表
svpwmintroduction
- SVPWM的等效算法及SVPWM与SPWM的本质联系.PDF SVPWM原理及其Simulink仿真.PDF 两本书教你如何使用svpwm-SVPWM algorithm and the equivalent nature of SVPWM and SPWM contact. PDF SVPWM principle and Simulink simulation. PDF two books teach you how to use svpwm
Matlab_Simulink-BLDCM
- 电力电子相关的仿真应用，直流无刷电机的控制仿真巧夺天工用诮顺-Simulation of power electronics-related applications, brushless DC motor control simulation of nature' s intricate use blame-shun
jingeiARTYU
- 本资料的功能为：运用数学统计方法和时间序列分析方法对原始振动信号进行分析，获取相应的时域，频域，频域及时间序列模型参数并以此作为特征参数，然后运用距离区分技术进行评估，选取敏感的特征参数作为ART-similarity分类器的输入并进行训练，最后便可识别出设备的性能状态。 基于YU范数对承不同预紧状态的分析，针对进给系统所采集的数据样本事先不知其对应的状态时，则可利用基于YU范数的ART-Similarity监督分类器对其进行诊断分析。针对基于Yu范数ART-Similarity的算法
using_matlab_to_use_SVM_to_do_classification
- matlab中用SVM做分类的使用方法,非常有用，对初学者尤为重要-using matlab to use SVM to do classification
bv_cvxbook
- CVX的使用方法 它是一种很有用的MATLAB设计工具-CVX to use it is a very useful design tool MATLAB
PCA
- 人脸识别，很好用。基于PCA的matlab人脸识别-Face recognition, very good use. Matlab face recognition based on PCA
biomedical-image-processing
- 医学图像处理是一门综合性学科课程学习者需要具备相应的理论知识同时也需要通过实验来验证相应的理论 针对教学中存在的问题, 设计并实现了一个基于Matlab平台的医学图像处理虚拟实验室 为理论和实验教学提供一个医学图像处理教学演示及虚拟实验的平台 实际使用的效果表明医学图像处理虚 拟实验室能有效地解决教学中的问题-Medical image processing is a comprehensive curriculum learners need to have appropr
matlab-code
- Photonic crystals are attractive optical materials for controlling and manipulating the flow of light. One dimensional photonic crystals are already in widespread use in the form of thin-film optics with applications ranging from low and high reflect
spec
- In this paper, a fast and memory efficient version of set partitioned embedded block (SPECK) image coder is proposed. Due to use of linked lists, SPECK algorithm, requires large run-time memory, making it unsuitable for memory constrained portable mu
PRACTICA-4---DELTA
- Learn how to use matlab in telecommunications, with diferents ways of digital and analog processing.
SVM-with-Matlab
- this file use svm for classfication operation.
OPTIMASI-PENEMPATAN-DAN-KAPASITAS-KAPASITOR
- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m 2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m 3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf