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产生伪随机二维码,使用的是Matlab中的Simulink，应该很好用的，用于系统辨识(PEBS generator)

说明：  边界链码求结节形态的几何特征 matlab(Boundary chain code requirements geometric form nodules matlab)

运用shancen格子玻尔兹曼模型模拟两相分离，验证可行(Use shancen lattice Boltzmann model to simulate two-phase separation, verification feasible)

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.)

Watermarking code & their comparison

遗传算法编程求解旅行商问题；图论中最短路问题的Matlab程序实现；背包问题模型的Matlab程序实现。(Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.)

这是一个用Matlab编写的程序集，可以实现一些声音和图象的处理。声音的处理有：LPC，FFT，共振峰，频谱等。图象的处理也有很多，都有源代码和参考代码。还有非常友好的界面。(This is a Matlab prepared by the procedure set, can achieve some of the voices and image processing. Voice processing : LPC, FFT, formants and spectrum. Image processing there are many, have the source code and reference code. There are extremely friendly interface.)

控制excle 生成控制cpn的编码； (Control excle generate control cpn encoding )

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)

说明：  BPSK的调制解调以及误码率等的matlab仿真(BPSK modulation and demodulation, and bit error rate of matlab simulation)