DP_microgrid_update

adaboost：经典的分类算法，配有相应的论文及程序使用说明(adaboost: classical classification algorithms, with the corresponding papers and procedures for use)

这是关于基2FFT-DIT的程序 第一个压缩文件是matlab程序，并附有原理和流程图及总结 第二个是关于c的程序(This is based on the procedures for 2FFT-DIT is the matlab program a compressed file, together with principles and the second is the flow chart and summary of the procedures on c)

the convert the audio from the cep unit fft to mel spectrum(the convert the audio from the probes unit fft t o mel spectrum)

说明：  2014-An Analysis and Implementation of a Parallel Ball Pivoting Algorithm 图像3D算法 含源码(2014-An Analysis and Implementation of a Parallel Ball Pivoting Algorithm)

说明：  Genetic algorithm 30 bus ieee

The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHANGE in the control action and NOT the control action.

Standard video mode definitions (taken XFree86).

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)

GLVQ neural network, this method is suitable for the two classification results of data processing

文件中涵盖了三种利用小波变换进行图像去噪的程序(Paper covers three kinds of wavelet transform for image denoising procedures)