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基于MATLAB的信号处理，经过脉冲压缩时加窗与不加窗对比以及分析。(MATLAB-based signal processing, after pulse compression and non-add window add contrast as well as the analysis window.)

基于蚁群算法用MATLAB求解76城市TSP问题，可得目前世界最优解，适合高手阅读使用(Using MATLAB based on ant algorithm for solving the problem of 76 cities TSP, the best solution available to the world for master read the)

Linear prediction follows naturally from the general mathematics of linear systems. As the system output is defined as a linear combination of past samples, the system’s future output can be predicted if the scaling coefficients bj and ak are known.

说明：  多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。(Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.)

包含简单约束的全局优化算法，matlab版本(Contains a simple constraint global optimization algorithm, matlab version)

This code is for calculate the histogram of the image

mewton迭代法，是数值分析中很重要的一种，源码为其在matlab中的实现。(mewton iterative method, numerical analysis is a very important one in the matlab source code for its realization.)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

matlab中GUI界面来实现运筹学中常用的几种最优算法(matlab in the GUI interface to the realization of several commonly used in operations research optimal algorithm)