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Matlab在图像处理与目标识别方面的应用实验程序示例。包括三个程序以及详细文档：一、染色体识别与统计，二、汽车牌照定位与字符识别，三、基于BP神经网络识别字符的简单实验(Matlab image processing and target recognition in the application of experimental procedures for example. Consists of three procedures, and detailed documentation: a, chromosome identification and statistics, two license plate location and character recognition, 3, based on BP neural network character of the simple experiment)

实现图像的小波变换，并详细介绍了求解过程(Realize the wavelet transform, and gave details of the solution process)

遗传算法用于解决多目标排课的优化问题,是一个好算法(genetic algorithm is used to solve the multi-objective optimization problem Course Scheduling is a good algorithm)

产生线性调频信号和脉冲压缩系数，外加正交解调(Generate a chirp signal and pulse compression factor, plus a quadrature demodulator)

LDA降维是常用的降维手段之一，其本质假设为数据的高斯分布。是有效常用的有监督学习降维工具。(LDA dimension reduction is one of the commonly used dimensionality reduction methods, and its essence is assumed to be the Gauss distribution of data. It is an effective and commonly supervised learning dimensionality reduction tool.)

RLS算法的一个程序，对大家肯定有帮助的(RLS algorithm is a procedure to help the U.S. certainly has the)

在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出 该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性， 达到最佳聚类的目的(Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering)

相控阵雷达处理MVDR 自适应算法 没有考虑宽带问题(MVDR adaptive algorithm)

用ICA方法进行BSS分离的源程序，有Matlab运行结果和详细实验过程，非常实用(ICA method with source separation BSS, Matlab operating results and detailed experimental procedure, very practical)

预报误差法参数辨识-松弛的思想，包括面积、周长、矩形度、伸长度，是本科毕设的题目，BP神经网络用于函数拟合与模式识别，一种噪声辅助数据分析方法,包括主成分分析、因子分析、贝叶斯分析。( Prediction Error Method for Parameter Identification- the idea of relaxation, Including the area, perimeter, rectangular, elongation, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, A noise auxiliary data analysis method, Including principal component analysis, factor analysis, Bayesian analysis.)