test_iris

神经网络使用例子，主要用于图像数据处理以及数据挖掘(Neural Network examples)

阵列信号处理中的角度和时延估计算法matlab程序。(this is a matlab about JADE_doa_MATLAB.)

用于飞思卡尔小车比赛摄像头组的赛道识别的matlab仿真程序。包含matlab源程序和试验图片，适合初期的赛道是弯道还是直道的判别(Freescale car for the race track camera group identified matlab simulation program. Matlab source code and test images included for the initial track is the discriminant curve or straight)

pca的matlab简单算法程序，没有什么特别的(PCA algorithm of matlab easy procedure, Nothing special)

matlab读视频源代码 实现在matlab下读取视频 很方便的(matlab source code for reading video in matlab realize the next video very easy to read)

样本熵是时间序列复杂度的一种度量, 在上个世纪末期由几位非线 性动力学研究者提出。样本熵比近似熵更具有相对一致性(Sample entropy is a measure of the complexity of the time series, at the end of the last century by several non-linear dynamics researchers. Sample entropy more than approximate entropy relative consistency)

introduction to simulink

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)

最优估计理论书籍，国外2006年SIMON出的，非常适合学习卡尔曼滤波以及最优估计方面的知识(Optimal estimation theory books abroad in 2006 SIMON, ideal for learning the knowledge of the Kalman filter and optimal estimation)

本程序是对双桨双舵船舶的回转运动进行操纵性模拟(This procedure can the simulate the rotary motion of a ship with twin-screw and twin rudder)