Osteoporosis-Detection-Software-master

产生模拟信号的程序，是我自己写的，毕业设计的时候用到的(Procedures generate analog signals that I wrote it myself, when used in graduate design)

说明：  《小波十讲》（TenLecturesonWavelets）是一本世界范围公认的经典学术名著，是当代数学著作中一本影响巨大的绝妙好书。书中包含了20世纪80年代以来世界上有关小波分析的最先进成果，也包含Daubechies本人关于紧支撑小波的卓越成就。(&quot Ten Lectures on Wavelets&quot (TenLecturesonWavelets) is a worldwide recognized classic academic works, works of contemporary mathematics a tremendous impact on the wonderful books. The book contains 80 since the 20th century the world' s most advanced achievements of wavelet analysis is also included on the compactly supported Daubechies wavelet my achievements.)

电力系统的MATLAB+SIMULINK仿真与应用(Power system simulation and application of MATLAB+ SIMULINK)

增强，计算目标个数及周长增强，计算目标个数及周长(Increased number of objects and calculate the circumference increased number of objects and calculate the perimeter)

LCMV beamforming algorithm based on MATLAB program

八阵元均匀圆阵，MUSIC算法实现空间谱测向(eight DOA MUSIC)

ipiq谐波检测方法，模型供参考，基于matab/simulink 搭建。(ipiq harmonic detection methods, models for reference, based matab/simulink structures.)

Function BURG: Computation of AR model using Burg s algorithm. Usage: [a,alpha,rc]=burg(x,p)

Model Fitting using a Gui code in matlab. using AR,ARMA,MA models

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)