PWM3

说明：  regulateur flou de la machine asynchrone

Numerical Analysis Using Matlab And Excel (3Ed)

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)

说明：  选择快速分析法，进行信号分离，所得到的结果，可以很好的与源信号相匹配。(Select the fast analysis method to separate the signal, the result can match the source signal very well.)

用MATLAB仿真并计算出IIR滤波器的参数，为了防止在定点滤波器溢出，通过程序转化为定点处理器中的滤波参数(Simulation IIR Filter parameters)

Graphics of PID Control of temperature

使用MATLAB编写的qdudqz神经网络算法，本程序根据训练好的网络文件DNViuWY预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedqdudqz neural network algorithm, the program according to the trained network fileDNViuWY anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )

基于多目标网络优化问题，运用改进的遗传算法，进行算法寻优，以求运用最短时间，达到最高精度(Based on the multi-objective network optimization problem, the improved genetic algorithm is used to optimize the algorithm in order to achieve the highest accuracy by the shortest time.)

用平面波展开法计算二维声子晶体带隙,对于初学matlab的同学会有帮助，相关分析过程的matlab方法。( Computation Method D phononic bandgap plane wave, Matlab for beginner students will help, Correlation analysis process matlab method.)

《基于计算机的信号处理实践》 著者： （美）麦克莱伦等著 作译者： 栾晓明译 ISBN号： 7-121-02023-8 出版日期： 2006-01 出版社：电子工业出版社 内含书用使用到的资源：例子所需的MAT文件信号，以及程序用用到的子程序代码。()