matlab

在matI ab中模拟c中链表，利用复数运算， 联系具体字符和概率，每次找到最小概率的 两个字符对应的蝙号，依次记录下来，最后 根据奇偶码的不同实现Huffman蝙码。本算法 新颖独特， 易于理解、蝙程。(Simulate in matI ab c in the list, using complex operation, contact the specific character and the probability to find the minimum probability for each of the two characters corresponding to bat number, followed by record, last achieved according to the different parity code Huffman bat code. This algorithm is novel and unique, easy to understand, bat-way.)

matlab命令大全，写程序时查起来方便，希望大家有用！(matlab command Guinness, write to facilitate the search process, I hope everyone useful!)

平稳性检测，关于matlab的平稳性检测源代码，时间序列多个代码(Stability testing, stability testing on matlab source code, time series, more than one code)

some graphs of the famous matlab tutorial

Pso general code can be edited and used for any application with ease

数值分析中的插值与拟合，有详细的讲解和配套matlab源代码(Numerical analysis of interpolation and fitting, detailed explanations and supporting source code matlab)

实现Nakagami信道仿真,用在无线传输信道中(Achieve Nakagami channel simulation, using the wireless transmission channel)

fractional control (fractional calculus)

对正弦信号进行FFT变换 画频谱图，进行频谱分析，可以计算出信噪比(Sinusoidal signals of paintings transform FFT spectrum chart, spectrum analysis, signal to noise ratio can be calculated)

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)