MonteCarlo

空间相关噪声下信源个数的聚类检测算法，一篇核心期刊论文(Spatial correlated noise source number of the cluster detection algorithm, a core journal papers)

SFLOP simulates a floating point operation x op y where op = +, -, *, / In chopping or rounding arithmetic using an m digit mantissa, base 10, and an unrestricted exponent range. (sflop: Simulate FLOating Point operation.) For more details on the how the floating point representation of a number is computed see the function sfl.( SFLOP simulates a floating point operation x op y where op =+,-,*,/ In chopping or rounding arithmetic using an m digit mantissa, base 10, and an unrestricted exponent range. (sflop: Simulate FLOating Point operation.) For more details on the how the floating point representation of a number is computed see the function sfl.)

说明：  单向感应电动机的仿真模型，内有7个仿真文件。具体实现功能和仿真结果图文件夹里有一个PPT文件进行讲解。(One-way induction motor simulation models, there are seven simulation files. Concrete realization of functional and simulation results map folder there is a PPT file to explain.)

BP神经网络解决异或问题,用VC可以打开浏览!也可与MATLAB接口使用.(BP neural network solutions differences or problems, with VC can open here! Also with the use of MATLAB interface.)

关于常规脉冲多普勒地地面雷达的杂波建模与仿真 (Conventional pulsed wave Doppler to the ground radar clutter modeling and simulation)

对风电场中不同储能技术和结构的比较，并得出结论(And concluded that the wind farm energy storage technology and structural comparison)

basics of matlab concepts

均值滤波,加权滤波,中值滤波的MATLAB实例,用于图象及信号的处理(Mean filter, weighted filtering, median filtering of the MATLAB examples for image and signal processing)

涡旋光束，幂指数涡旋光束，新型光束，捕获粒子，特殊光学(Vortex beams, exponential vortex beams, the new beam, trapped particles, special optical)

y3k=fft(u,(m+n-2)/4) i=1:(m+n-2)/4 subplot(5,2,9) stem(i,u) title( 滤波后上采样 ) k=1:(m+n-2)/4 subplot(5,2,10) stem(k,y3k) title( 上采样频谱 ) xlabel( k ) ylabel( y3k ) (y3k = fft (u, (m+ n-2)/4) i = 1: (m+ n-2)/4 subplot (5,2,9) stem (i, u) title (after filtering the sample) k = 1: (m+ n-2)/4 subplot (5,2,10) stem (k, y3k) title (on the sample spectrum) xlabel (k) ylabel (y3k))