Loop-antenna

采用CP算法求解分形维数(Using CP algorithm to solve fractal dimension)

说明：  MCU控制BUCK-BOOST电路时电压反馈的解决-技术文章-模拟与电源技术(Solution of Voltage Feedback in MCU Controlling BUCK-BOOST Circuit-Technical Article-Analog and Power Supply Technology)

Empirical mode decomposition algorithm with some optimization

PID控制matlab仿真第三版完整仿真程序(PID controller program,very good)

200 THz electric field modulated by Gaussian envelope

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：  详细讲解matlab7的编程，包括电子教案以及源程序代码(Matlab7 elaborate programming, including electronic lesson plans and source code)

RANDFILT Generate filtered gaussian noise without initial transient

2D FDTD in a unitless space with open boundary with matrix update instead of for loops

对振动信号进行小波包分解，并以小波包的节点能量作为特征进行了提取。(The vibration signal is decomposed by wavelet packet, and the node energy of wavelet packet is taken as the feature to extract the vibration signal.)