CIC

Gabor Filter implementation in Matlab

说明：  在语音信号处理中使用matlab对语音信号进行lpc谱估计的源代码。(in voice signal processing using Matlab, the audio signal lpc spectrum estimation of the source code.)

各类基于matlab的算法的编写，主要是各类数学模型的讲解，以及对于各类数学问题的描述(Various number of algorithms written in the explanation of the mathematical model, as well as a description of the various types of mathematical problems.)

Chapter 3 - Kinematics

均匀线阵列数字波束形成matlab程序，与大家一起分享(Uniform linear array digital beamforming matlab program to share with you)

matlab入门的高清电子书，matlab是一个极好的数学编程工具，很多著名算法都采用matlab实现(HD e-book, matlab matlab entry is a the excellent mathematical programming tools, many well-known algorithm using matlab)

Matlab toolbox neural network function neural network 06b AIDS on neural network toolbox

递归最小均方误差中，权矢量随迭代次数收敛曲线(recursive least squares )

有限干扰下的单向中继选择；基于多种选择策略 有篇比较好的paper 还有就是仿真的程序 test4是最后两个图的 有点小问题 (Limited interference unidirectional relay selection strategy papers based on multiple choice paper there is a better simulation program test4 last two graphs is a little problem)

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)