Closed_Boost_Converter_Equation_Model

这是我编写的基于Matlab的QPSK调制解调的仿真程序，希望对大家有所帮助(This is what I prepared in Matlab based on the QPSK modulation and demodulation of the simulation program, and they hope to help everyone)

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities. (Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.)

利用matlab的DSP工具箱计算倍频程滤波器，同时提供示例(The DSP is calculated using matlab toolbox octave filters, while providing examples)

Implementation of some non-parametric estimators of the probability density.

AC-DC Converter using a three-phase three-level PWM Voltage-sourced Converter (AC-DC Converter using a three-phase three-level PWM Voltage-sourced Converter)

这种邻域插值的matlab源代码,学生需要可以下载使用(This neighborhood interpolation of matlab source code, students can download to use )

这个是一个基于matlab实现傅里叶变换的一个小的程序，共大家学习使用。(This is a matlab-based Fourier transform to achieve a small program, we were learning to use.)

matlab captcha crack

1. Extract files and run Audio_denoise_main.m file folder... 2. Click on Load & play Audio file and Original sound.wav file 3. Then using slider AWGN (White gauusion noise)...it is vary 1 to 10 set it to 10.. 4. now click on Add Noise and play... 5. u can save noisy signal by save noisy signal tab... 6. now wavelet... 7. thresholding.. 8. now click on Denoise and play....wait for some time...this will take 25 sec time 9. now save that denoised signal...and record all output parameters... 10. now click on clear all and exit

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)