Est_ML_CFO_TO_OFDM

SVPWM仿真模型，S函数形式实现的！控制对象为永磁同步电机！(SVPWM simulation model, S function is achieved in the form! Control object for the permanent magnet synchronous motor)

Etalonnage des photos: sterioscopie

含：分析物理磁盘的分区表和各分区的bootsector for bitlocker以及WINDOWS下设备枚举.(including : Analysis of the physical disk partition table and the district for the bootsector bitlocker and W INDOWS equipment under enumeration.)

说明：  遗传算法matlab代码，经过检测无错，希望对大家有用(Genetic algorithm matlab code, error detection)

采用数值计算FDTD计算了一个开缝金属腔体的屏蔽效能(FDTD numerical calculation using a slotted metal cavity shielding effectiveness)

经典的张正友的摄像机的两步标定程序，包括单目标定和立体标定程序。代码是基于matlab(Classic camera Zhang Zhengyou s two step calibration procedures, including single target and stereo calibration procedures. The code is based on the MATLAB)

the location based collaboration, the change of the spatio- temporal relationship of the people-people or people-place is the key context for collaboration. So, the location based collaborative environment should support the spatio-temporal event sub/pub service. The key problem in spatio-temporal event subscription is how to specify the different spatio-temporal events.

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

Buckboost converter specialization

QPSK调制解调，包括波形，误码率，并加入时延，以前做的实验，可以作为参考。(QPSK modulation and demodulation, including waveforms, error rate, and add delay, before doing the experiment, can be used as reference.)