ARMASA

Biomedical Optics: Principles and Imaging源码(Biomedical Optics: Principles and Imaging )

对归一化最小均方算法NLMS的matlab仿真，包括收敛曲线(The normalized least mean square algorithm NLMS matlab simulation, including convergence curve )

This is the bisection method for solving an equation f(x)=0

MATLAB多方法去高斯白噪声方法有：多幅图像平均、均值滤波、中值滤波(MATLAB more ways to gaussian white noise methods are: many images average, average filtering and median filtering )

Understanding Interference Effect in communication systems.

求解无约束优化共轭梯度法的wolfe线性搜索规则(Unconstrained optimization conjugate gradient method wolfe line search rule)

主要计算电力系统机组组合问题，高智能算法，收敛效果好，迭代稳定(Main computing unit combination problem of power system, intelligent algorithms, convergence effect is good, stable iteration)

说明：  介绍了MATLAB载图像处理方面的应用，并有实例介绍(Introduced the MATLAB contains image processing applications, and has examples of introduced)

说明：  一维直方图最大熵法分割图像，自己写的matlab代码，多多指教(One-dimensional histogram maximum entropy image segmentation, to write the matlab code, exhibitions)

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1] All fireflies are unisexual, so that one firefly will be attracted to all other fireflies Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases If there are no fireflies brighter than a given firefly, it will move randomly. The brightness should be associated with the objective function. Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.