pv_boost_mpp_Iref

用matlab计算并成图形的电路设计中幅频=相位响应图 ，也可为设计计算带通滤波器的中心频率以及Q值提供参考(Using matlab to calculate and graphics into the circuit design of amplitude and frequency = phase response plans can also be calculated for the design of band-pass filter center frequency and Q value to provide reference)

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)

Leverage Space Portfolio Model

Matlab单队列多服务台仿真总流程图 本系统仿真程序采用事件步长法进行仿真，由以下功能模块组成： 1、仿真时钟； 2、事件表； 3、系统状态变量； 4、初始化子程序； 5、事件子程序； 6、调度子程序； 7、时钟推进子程序； 8、随机数产生子程序； 9、输出函数子程序； 10、统计计数器； 11、主程序。(Matlab simulation of the total single-queue multi-desk system simulation program flow chart of the step method used to simulate the event by the following functional modules: 1, simulation clock 2, the event table 3, the system state variables 4, the initialization sub- procedures 5, event subroutine 6, the scheduling routine 7, the clock forward subroutine 8, random number generation routine 9, the output function routine 10, statistical counters 11, the main program.)

说明：  这是非常好的程序，有兴趣的都来看看，(It is a very good procedures, all interested parties to look at,)

Gibbs现象在MATLAB上的仿真程序。(Gibbs on the situation in the MATLAB simulation program.)

这是一个非常完整的pi/4dqpsk 调制解调的matlab仿真，给出了各个阶段的波形图，并且分析了在高斯信道下面的误码率，以及星座图和功率谱(This is a very complete matlab simulation of pi/4dqpsk modulation and demodulation. The waveform diagram of each stage is given, and the bit error rate under Gao Si channel, constellation diagram and power spectrum are analyzed.)

detecting woods by images

利用改进的fxlms算法降噪，另附有自编fxlms函数代码(The improved noise reduction algorithm fxlms, self fxlms have attached the function code)

说明：  匹配追踪MP算法，实现信号稀疏分解，运用的是投影思想(Matching up MP to achieve sparse signal decomposition)