Iris-center-and-radius

说明：  基于遗传算法（GA）的10个城市的旅行商（TSP）问题的建模及仿真(Based on genetic algorithms (GA) of the 10 cities of the traveling salesman (TSP) problem of modeling and simulation)

acoustic resonator quinkue tube

用matlab中的小波分析方法实现数据处理中的小波动，可用于例程学习(Using matlab in the wavelet analysis method to achieve data processing of small fluctuations, can be used for routine learning)

Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).(Piled images Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).)

This code is about red object track. This code is done in MATLAB.

扩频序列仿真代码，包括主函数，产生序列函数，扩频函数，调制函数，多径衰落函数。(Spreading sequences simulation code, including the main function, the sequence function, spread function, modulation function, multipath fading function.)

灰色理论多变量预测源代码，费很大劲找到的，预测挺不错的(Grey theory multivariable predictive source code, find great difficulty predicting very good)

应用于模式识别的感知机算法的MATLAB代码实现(The perceptron algorithm is the classic method of Pattern recognition)

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)

使用matlab进行8psk调制与解调的代码，里面还有滚降滤波器等代码(Using MATLAB for 8PSK modulation and demodulation of the code, there are roll down filter code)