PCMsheji

本代码是利用matlab实现dct变换，作用后效果可见 (This code is to use matlab to achieve dct transform, the role can be seen after the effect )

数字基带系统传输，有完整的编码译码过程，高斯白噪声信道(Digital baseband transmission systems, a complete coding and decoding process, Gaussian white noise channel)

说明：  谱减法的测试程序，能够测试谱减法的去噪能力以及相关信息。(Spectral subtraction of test procedures to test spectral subtraction denoising and related information)

Image enhancement for gray sacle images

MUSIC方法，对相关矩阵分解为噪声子空间和信号子空间，然后搜索得到需要估计的频谱(MUSIC method, the decomposition of the correlation matrix for the noise subspace and signal subspace, then search to get the spectrum to be estimated)

该函数用来计算时间序列的最大Lyapunov 指数 Wolf 方法 m: 嵌入维数 tau:时间延迟 data:时间序列 N:时间序列长度 P:时间序列的平均周期,选择演化相点距当前点的位置差，即若当前相点为I，则演化相点只能在|I－J|>P的相点中搜寻 lambda_1:返回最大lyapunov指数值 (This function is used to calculate the time series of the largest Lyapunov exponent Wolf method m: embedding dimension tau: time delay data: time series N: Time sequence length P: the average period of time series, the evolution of the current location of the point relative pitch poor, that is, if the current phase point is I, the evolution of the phase point only | I-J |> phase point P in search lambda_1: returns the maximum index value lyapunov)

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)

Implements Minimum Search Tree using Kruskal Algorithm

hybrid adaptive control

该代码是自己利用实际的大气污染数据编写的否定选择算法例程，验证否定选择算法的分类效果(The code is their actual air pollution data using negative selection algorithm written routines to verify the effect of negative selection algorithm classification)