SAE-J1587-2002

ILC算法中PID学习率中PID参数的选择优化程序(Select the PID algorithm optimization program ILC learning rate in PID parameters)

This program simulates the transmission performance of BPSK under Additive White Gausian Noise (AWGN) environment.

说明：  使用MATLAB来进行神经网络NN训练数据(Use MATLAB to neural networks NN training data)

naive bayesian classification

该程序计算了接收分集中等增益合并的误码率，并有理论值和仿真值的比较(The program calculates the bit error rate of receive diversity and equal gain combining, and the theoretical values ​ ​ and simulation values)

说明：  matlab计算器的示例，适合初学者学习之用．(matlab calculator example, suitable for beginners learning.)

此程序为标准相关干涉仪测向的程序，包括了相位估计和对算法的评估。(This program is the standard correlation interferometer procedures, including the phase estimation and evaluation of the algorithm.)

Sammarization Document

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：  在CC++中调用Matlab， 了解调用MATLAB接口(In CC++ Calling Matlab, learn to call MATLAB Interface)