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matlab基础讲义以及例子和程序编写，老师推荐(matlab Advanced Materials )

说明：  programme for markov

图像重采样程序，可以实现图像任意大小的尺寸调整，采用分片重采样方法(Image resampling process, image of any size can be adjusted, subdivision resampling methods )

ce programme permet de calculer la transformer en ondelette sous matlab

matlab 的经典tool kit，来自麻省理工大学(matlab classic tool kit, from the Massachusetts Institute of Technology)

overlap add methode for digital signal processing

语音信号的iir滤波器设计,从带有噪音的信号中提取原始声音.目前，MP3播放器一般功率放大器的工作频率范围就是这个范围。但是大部分有用的和可理解的信息的频率在200到3500Hz之间。所以我们可以在这个范围间滤波，达到使声音可理解的要求。现将数字滤波器的设计指标设为通带截止频率fb=600HZ,阻带频率fc=1200HZ,通带波纹Ap=1dB，阻带波纹As=40dB,要求确定H(z)。(design of the iir filter, get the original voice without noise)

该程序实现二维的FFT变换，可以对图像做FFT变换，运行速度还可以。(procedures to achieve the two-dimensional FFT transform, the image can be done FFT, can also speed.)

matlab 学习技巧，现在把我用的，也就是对我帮助很大的留个文件传上去，希望对大家有用，第三程序设计(matlab learning skills, and now I use, which is a great help to me to leave a document passed up, we want to be useful, the third program design)

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)