很不错的用于分类的相关向量机（RVM）算法程序

说明：  MATLAB实现图像的保边平滑滤波——双边滤波器(TLAB Image smoothing edge preserving- bilateral filter )

电磁场的时域有限差分法的matlab模拟的程序，计算电磁学的大牛写的程序。(the program writed by famous professor simulates electromagnetic field with FDTD)

功率谱分析 matlab 解压后 使用时在matlab里set path ，该文件不用修改，运行后plot即可得出图形(power spectrum analysis)

说明：  MATLAB图像处理源程序4： P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象 (MATLAB image processing source code: P0401: Prewitt operator to detect image edge P0402: different sigma value LoG operator image edge detection P0403: Canny operator to detect image edge P0404: image thresholding segmentation P0405: water of line thresholding segmentation image segmentation P0406: matrix quadtree decomposition P0407: image into text and non-text two categories P0408: morphological gradient detection Binary Image Edge P0409: morphological instance,- Images from the PCB Remove all current lines, retaining only chip targets)

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)

标准的粒子群优化程序框架有助于初学者编程。(Standard Particle Swarm Optimization Framework programming help beginners.)

相场模拟晶枝生长，采用有限差分法计算，可更改参数获得不同结果(Phase field simulated dendrite growth)

四杆机器人仿真 (Animate_Four_Bar_Polodes )

采用Graph Cut算法进行multiple-label的图像分割，算法很完整，非常适合初学者以及开发人员参考(multiple-label image segmentation using Graph Cut based algorithm, suitable for beginners and developers)

dc motor model in simulink