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matlab 模式识别算法和实现及其相关实验。(matlab pattern recognition algorithm and the realization of the experiment )

利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元(using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons)

在matlab图片处理中加入噪声，是图片不再清晰(Add noise in matlab image processing, is no longer clear picture )

FIR滤波器的设计代码，这是其中的第三部分，一共有四部分(FIR filter design code, which is the third part of a total of four parts)

matlab code for Generate maximally perceptually-distinct colors

audio watermarking embeddin , use algorithm DCT DWT

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

一种混合贪婪随机自适应搜索（GRACH）算法，用于解决单车辆段车辆路径问题(a hybrid Greedy Randomized Adaptive Search (GRASP) algorithm that solves a single depot vehicle routing problem)

说明：  matlab实现HHT变换,包含具体EMD分解过程与信号重构过程(matlab EMD HHT, It includes specific EMD decomposition process and signal reconstruction process)

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)