landweber

对流层误差延迟,可根据输入的卫星位置，接收机位置，及大气压等计算对流层延迟时间(Tropospheric delay, tropospheric delay time can be calculated based on the input of the satellite position, receiver position, and atmospheric pressure, etc.)

人工鱼群算法是李晓磊等人于2002年在动物群体智能行为研究的基础上提出的一种新型方盛优化算法，该算法根据水域中鱼生存数目最多的地方就是本水域中富含营养物质最多的地方这一特点来模拟鱼群的觅食行为而实现寻优。算法主要利用鱼的三大基本行为：觅食、聚群和追尾行为，采用自上而下的寻优模式从构造个体的底层行为开始，通过鱼群中各个体的局部寻优，达到全局最优值在群体中凸显出来的目的。 这是一个鱼群算法的案例，希望大家可以有所收获(Artificial fish swarm algorithm is a new fangsheng optimization algorithm proposed by li xiaolei et al. on the basis of the research on intelligent behavior of animals in 2002. This algorithm simulates the foraging behavior of fish swarm according to the characteristics that the place with the largest number of fish survival is the place with the largest number of nutrients in the water area.)

ICA去噪程序，与小波去噪比较，去噪效果较好。(ICA denoising procedure, compared with wavelet denoising, denoising is better.)

闭环充电机仿真图，看了这图你就会做充电机了。(Closed-loop simulation charts charger, read this plan you will do a charger.)

MEAN SHIFT SOURSE CODE

绘制高斯曲面，能够帮你学习高斯曲面的绘制，给您节省时间。(Gaussian surface drawn to help you learn the Gaussian surface drawn to save you time.)

Smith圆图的设计很实用的真的很实用的(Smith Chart design is very practical and really practical)

matlab code for image to pixels conversion and vice verse

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

training a neural networks using error back propagation algorithm