资源列表
程序2
- 介绍的是关于提取小波特征以及支持向量机分类的编程，也就是特征提取识别分类。(Wavelet feature extraction and support vector machine classification)
HRVAS_v1.0.0
- 采用ECG信号进行HRV的时域分析、频域分析的Matlab代码(Matlab code for HRV time domain analysis and frequency domain analysis using ECG signal.)
matlab-dsp-语音信号处理
- 利用matlab将自己的录好的音频加入噪声后，在利用滤波器滤除噪声，回复原始音频(After using MATLAB to add its recorded audio to noise, the filter is used to filter the noise and restore the original audio.)
Comfort
- 该程序可在读取列车各布点加速度响应的基础上计算列车运行时舒适性的评价指数(The program can calculate the evaluation index of ride comfort on the basis of reading the acceleration response of all points of train.)
pmsm
- 基于VSD坐标变换的六相PMSM矢量控制。(Six phase PMSM vector control based on VSD coordinate transformation.)
fourier
- 基于MATLAB 的语音信号频谱分析与去噪研究 1、通过Matlab读入语音信号，进行频域分析 2、绘制语音信号频谱； 3、设计滤波器并进行滤波； 4、加噪，对比语音信号波形和频谱(Research on speech signal spectrum analysis and denoising based on MATLAB 1, read the voice signal through Matlab and analyze it in frequency domain. 2, draw t
Matlab时频分析技术及其应用_源代码
- MATLAB时频分析技术及应用 源代码 仅供参考(MATLAB time frequency analysis technology and application source code for reference only.)
sfa_tk101.tar
- 慢特征分析 sfa matlb源程序 参考文献： Wiskott, L. and Sejnowski, T.J. (2002), "Slow Feature Analysis: Unsupervised Learning of Invariances",(Slow feature analysis SFA MATLB source program)
three_level_diode_clamped_single_phase_pwm
- 单相三电平二极管钳位逆变器仿真（载波层叠调制）(Simulation of single phase three level diode clamped inverter (carrier stacking modulation).)
ADRC
- ESO NLSEF 自抗扰控制器是自动检测系统的模型和外扰实时作用并予以补偿的新型控制器。介绍 自抗扰控制器对时变系统、多变量系统、最小相位系统等不同对象的使用方法。(ESO NLSEF Self-disturbance rejection controller is a new type of controller, which is the model of automatic detection system and the real-time function of exter
11
- 根据 MATPOWER 软件包编写程序，进行交流潮流仿真计算并分析；在 Simulink 中 搭建潮流计算仿真模型，进行交流潮流仿真计算并分析，和之前的仿真结果对比分析。(According to the MATPOWER software package programming procedure, AC current simulation calculations and analysis are performed; in Simulink Build a power flow ca
webinar111606
- 使用MATLAB构建capm和三因子模型，包含数据及m文件(Use MATLAB to build CAPM and three factor models, including data and M files)