goukan

实现SAR 的二维线性调频信号仿真，方位向、距离向都是LFM信号，脉冲压缩是用时域卷积实现的！(Two-dimensional realization of SAR chirp signal simulation, the azimuth, distance to all LFM signal, pulse compression is achieved using time-domain convolution!)

说明：  基于空间划分的模糊辨识方法，三角形隶属函数！(Fuzzy identification method based on space division, triangle membership function!)

this code for voice detection

这是一个小波去噪MATLAB源程序,用于处理各种信号中的突变点以及异常点的小波去噪程序，该程序能实现各种序列中的异常点的识别。 (This is a wavelet denoising MATLAB source code for a variety of signal processing and exception point mutations wavelet denoising procedure that can achieve a variety of sequence identification of outliers.)

《matlab/simulink电力系统建模与仿真》是一本针对电气工程及其自动化专业的mati,ab／simulink仿真入门教材。《matlab/simulink电力系统建模与仿真》涵盖了电力系统稳态分析、电力系统暂态分析、电力系统继电保护、高压直流输电、柔性输电以及风力发电等主干课程。(" Matlab/simulink power system modeling and simulation" is a mati for electrical engineering and automation professional, ab/simulink simulation primer. " Matlab/simulink power system modeling and simulation," covering the steady state power system analysis, power system transient analysis, power system protection, HVDC, FACTS and wind power and other main courses.)

一种用于压缩感知图像去噪的matlab代码，使用一个预先决定的字典(compress sensing image denoising)

针对梁的振动控制Matlab程序，包括输入MKC矩阵，计算固有频率，并采用Simulink进行梁的振动控制(Matlab for beam vibration control procedures, including input MKC matrix, calculate the natural frequency and vibration of beams using Simulink Control)

基于宽带调制转换器的一种新的压缩感知技术(Matlab package that simulates sampling by the analog system. The MWC consists of an RF front-end whose intermediate nodes are non-bandlimited signals. In this setting, computing the samples that would have been obtained by the hardware becomes a tricky task. This package sets the MWC parameters properly and also uses a dense time-grid in order to ensure sufficient approximation in computing the analog samples. The simulations in this paper were generated by this package. Usage: (A) download from here and unzip. (B) use start.m to run the simulations (can last many hours). (C) use GenFigs.m to generate the figures from the saved results. )

back probagation in neural network

vq矢量量化，对说话人进行识别，内置有语音样本，识别率高达90 。对语音信号进行读取，预处理，特征参数提取，向量量，训练，对比识别。(vq vector quantization for speaker identification, built-in voice samples, the recognition rate of 90 . Read the speech signal, preprocessing, feature extraction, the amount of vector, training, recognition comparison.)