interp_profiles_ne.m

matlab的基本入门教程，可以帮助matlab初学者更加好得掌握这一门编程技巧(matlab basic introductory tutorial to help beginners more matlab too good programming skills to grasp the door)

libsvm-3.16工具箱，支持多分类向量机，能载入matlab并运行，已经通过验证的程序，很好(libsvm-3.16 toolbox, support multi-classification vector machine, can be loaded the matlab and running, has been validated procedures, very good)

hide message inside image and retrive it from image using dct

MATLAB源代码大全，包括二维连续傅里叶变换，离散余弦变换，Radon变换实现的源代码(MATLAB source code complete, including two-dimensional continuous Fourier transform, discrete cosine transform, Radon transform source code)

2个不同调制方式的MATLAB仿真程序，是QPSK和QAM的，都非常好(Two different modulation of the MATLAB simulation program is QPSK and QAM, are very good)

说明：  简单的遗传算法优化bp神经网络，里面包含数据、程序(Simple genetic algorithm optimizes BP neural network, which contains data and program)

建模相当有用的算法：求算最短路经算法，建模的兄弟可用(Very useful in modeling algorithm: calculating the shortest path algorithm)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

Image Steganography Using Wavelet (Discrete Wavelet Transform) The m-file contains further details

主要用于光谱数据预处理中的多光谱基线校正。(it can be used for multi-spectral baseline correction when pre-processing spectral data)