IEEE802.15.4achannel_model

OVSF，正交可变扩频因子，WCDMA扩频码(OVSF, orthogonal variable spreading factor, WCDMA spreading codes)

说明：  双环控制，直流母线电压外环，电感电流内环预测控制，3kW光伏并网系统，无升压电路，增量电导法，逆变桥控制最大功率追踪，亲测可用。(DC bus voltage outer loop, inductance current inner loop, 3KW photovoltaic grid connected system, no boost circuit, incremental conductance method, inverter bridge control maximum power tracking, available for pro test.)

为了克服用硬件电路实现混沌信号的困难，本文采用MATLAB/Simulink 软件对蔡氏电路进行仿真研究。实验结果 表明，蔡氏电路结构简单，具有极其丰富的动力学行为，提高了通信的安全(In order to overcome the chaotic signal with a hardware circuit difficulties, we use MATLAB/Simulink software simulation of Chua' s circuit. Experimental results show that the Chua' s circuit structure is simple, extremely rich in dynamics, to improve the security of communications)

只使用待测用户的观测数据，不需要其他用户（干扰用户）信息就可以抵消多址干扰进行检测的自适应检测器称为盲自适应多用户检测器，常简称为盲多用户检测。用LMS算法更新检测器系数时即为盲自适应多用户检测的LMS算法(Use only tested the user' s observations, no other user (interference user) information to be offset by multiple access interference detection and adaptive detector known as the blind adaptive multiuser detector, usually referred to as the blind multiuser detection. Detector with LMS coefficient update algorithm when it is blind LMS adaptive multiuser detection algorithm)

saadat著的电力系统分析中文翻译版；有详细的潮流、暂态matlab实例(Chinese translation version saadat power system analysis detailed flow, transient matlab instance)

通过三个具体实例介绍乐MATLAB语言在化学中的应用，说明在数值计算方面其有着比目前流行的高级语言FORTRAN,PASCAL,C无法比拟的强大功能(through three specific examples music MATLAB in chemistry applications, Note the numerical calculation of their share than the currently popular high-level language FORTRAN, and PASCAL. C can not compare with the powerful functions)

说明：  DDS的MATLAT建模，对于用MATLAB建模的DDS设计者可供参考(DDS' s MATLAT modeling, modeling of the DDS for the designers to use MATLAB for reference)

matlab和C交互程序，MATLAB计算，C设计界面。(interactive program of matlab and C,matlab is suitable for computing and C is suitable for interface design.)

Content Based Image Retrieval

使用kalman滤波实现动态行人检测与跟踪(dynamic people detection using kalman filter)