some-MATLAB

雷达影像后向散射系数计算,并绘制后向散射系数图(backscattering coefficients of Radar image, show the figure of backscatter coefficients)

czt函数的c语言实现。matlab中czt函数的c语言实现(c language czt function implementation. c language matlab function in the realization czt)

说明：  matlab在电信工程中的应用 matlab在电信工程中的应用 (Matlab in telecommunications engineering application of Matlab the telecommunications engineering application of Matlab in telecommunications engineering application)

针对C语言环境下的电力系统潮流计算过程中，负责数据输入的子程序。(Power flow calculation for the C language environment in the process, is responsible for routine data entry.)

在matlab上运用有限时域差分法模拟二维光子晶体(the simulation of tm mode in two-dimensional photonic crystals using FDTD)

matlab中对图形轮廓的特征提取代码，程序实现，(matlab in the graphic outline feature extraction code, program implementation,)

LM算法的MATLAB实现。Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。(LM algorithm in MATLAB. Levenberg-Marquardt algorithm is an optimization algorithm. Optimization is to find the minimum value makes the function parameter vector.)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

说明：  经典的石子划分问题，不同质量和数量的石子进行划分，以求最优解(Classic stone division, different quality and quantity of stones to be divided, with a view to the optimal solution)

说明：  选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)