lussb.m

剑桥大学的系统辨识工具箱，对许多应用都比较有用(Cambridge University System Identification Toolbox, for many applications are more useful)

说明：  turbo码系统的仿真，包括编码、交织、不同译码、穿孔等各个部分的程序。仿真结果在图中表现。译码算法为log-map。(turbo code system simulation, including encoding, interleaving, different decoder, such as perforation of part of the process. Simulation results are shown in Fig. Decoding algorithm for log-map.)

matlab based chpper design. boost chopper with PWM

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)

非线性不确定优化程序，约束函数也为非线性(Nonlinear uncertain optimization program, constraint function for the nonlinear)

雷达系统仿真，发射信号为13位巴克码和线性调频混合调制的信号(Radar System Simulation, firing signal for the 13 Barker code modulation and linear frequency modulation of mixed signal)

jacobi quadrature, to resolve linear system with jacobi.

it is used to remove noise from images

加权支持向量机的控制图模式识别方法，不平衡的分类异常控制模式与支持向量机的趋势 (A weighted support vector machine method for control chart pattern recognition imbalanced classification of abnormal control trend patterns with SVM)

DC590B 的资料，用于BMS开发工具 里面介绍功能及用法(device datasheet)