rotation_image

说明：  基于MMSE准则LS /涡轮译码算法和平衡MIMO迭代算法的性能比较(Based on MMSE criterion LS/Turbo decoding algorithm and balanced MIMO iterative algorithm performance comparison)

模糊综合评判源代码，kriging 详细插值matlab程序，经过测试的，直接用就可以了(Fuzzy comprehensive evaluation source code, kriging interpolation matlab program in detail, tested, directly on it)

把轨道根数转移到对应的状态向量，在轨道中很常用。(The orbital elements are transferred to the state vector)

matlab中图形的边缘检测，然后进行角点获取(edge detect and corners acquisition)

Using high-order cumulants of MPSK signal modulation recognition, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Principal component analysis of multivariate data analysis projection.

recognition of handwriting that implement with matlab and neutral network.

SPIHT的一个Matlab程序，经过改进的。2006年编写的。(SPIHT, a Matlab procedure improved. Prepared in 2006.)

说明：  卡尔曼滤波器的理论和实践，以及matlab仿真实例(KF Theory&Practice Using MATLAB)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)

RLE图像压缩编码，多个例子程序，可以参考(RLE image compression coding, multiple example programs)