entropy-based-immune-algorithm

测量6205深沟球轴承的故障振动加速度信号, 对信号进行时频分析, 利用经验模态分解方法将振动信号分解成不同特征时间尺度的固有模态函数,对每个固有模态函数进行Hilbert 变换得到Hilbert 谱,通过谱分析识别轴承的故障部位和类型, 证实Hilbert 谱的有效性(Measuring 6205 deep groove ball bearing fault vibration acceleration signal, the signal frequency analysis, empirical mode decomposition method to decompose the vibration signal into different characteristic time scales of intrinsic mode functions, the Hilbert transform of each intrinsic mode functions Hilbert spectrum, spectral analysis to identify the location and type of bearing failure, confirmed the effectiveness of the Hilbert spectrum)

在求混沌参数中所需要用到的GP算法，求关联维数的程序。(Seeking chaotic parameter needed GP algorithm, find the correlation dimension of the program.)

程序用pq分解法，通过matlab进行设计来计算电力系统潮流(Program with pq decomposition method, designed to calculate the power flow through matlab)

a matlab code about computing the pine hole system s capacity

一种用MATLAB编写的能够实现机械连杆的运动分析，并且能自动画出其速度、加速度等的图像(Using MATLAB to achieve mechanical linkage written motion analysis, and can automatically draw its speed and acceleration of image)

多帧图像超分辨率重建，通过机器学习来实现，效果不错。(Multi-frame image super-resolution reconstruction, through machine learning to achieve good results.)

第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简单LPC共振峰检测268 9.4.2改进的LPC共振峰检测270 9.5基于HilbertHuang变换(HHT)的共振峰检测274 9.5.1希尔伯特变换275 9.5.2语音信号的另一种模型——AMFM模型278 9.5.3对AMFM模型的分析279 9.5.4语音信号共振峰特征参数提取的HHT方法279 9.5.5基于HilbertHuang变换的共振峰检测步骤和MATLAB程序280(Estimation Chapter 9 259 9.1 formant pre-emphasis and pre-emphasis endpoint detection 259 259 9.1.1 9.1.2 9.2 endpoint detection principle cepstrum estimate 260 to 260 9.2.1 formant formant estimation cepstrum 260 9.2.2 cepstrum estimate estimate estimate formant MATLAB program 261 9.3LPC method formant 262 9.3.1LPC law principle of formant estimation interpolation within 262 9.3.2LPC formants 263 9.3.3LPC Root Law resonance estimate peak 266 9.4 Continuous Speech LPC formant detection method is simple LPC formant 268 9.4.1 268 9.4.2 Improved detection LPC 270 9.5 formant detection based HilbertHuang transform (HHT) 274 9.5.1 formant detection Hill Another model 275 9.5.2 Hilbert transform voice signals- AMFM model 278 9.5.3 Analysis of the AMFM model HHT Method 279 9.5.4 formant speech signal feature extraction based HilbertHuang transform 279 9.5.5 Resonance peak detection step and MATLAB program 280)

一个在matlab环境下实现FFT的实践和功率谱分析的程序(this is a program about fft and psd analysis)

说明：  学习通信的人都知道，要进行信号处理的话，算法的编程非常繁琐，这里有一些自适应信号处理的算法，LMS,RLS，MMSE等的算法，希望大家喜欢。(learning communications are aware, the need for signal processing, programming algorithm is very complicated, there is some adaptive signal processing algorithms, LMS, RLS, the MMSE algorithm, hope you like them.)

Displacement recovery for MLS method and compute stress from "An Introduction to Meshfree Methods and Their Programming [G.R. Liu, Y.T. Gu] " the orginal code is in fortran but this code is in matlab