programming-advanced-applications

comparison between uncoded and LDPCencode BPSK signal transmitted in AWGN channel

使用Matlab实现函数的傅里叶级数展开(Implement the function using the Matlab Fourier series expansion)

Root-MUSIC，PM，MUSIC算法的比较，详细介绍了这几种算法的优略，给出了详细的数据分析(Root-MUSIC, PM comparison, MUSIC algorithm, described in detail the advantages of these types of algorithm slightly, gives a detailed analysis of the data)

Reed solomon FEC coding

说明：  利用数学形态学构成形态学滤波器对图象进行滤波,处理效果较满意.(using mathematical morphology constitute morphological filter image filtering, processing more satisfied with the results.)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

设计Matlab程序实现最大最小距离聚类法，要求：输入模式向量和类别数，能够输出聚类的结果(Design Matlab achieve maximum minimum distance clustering method, requirements: input mode vector and the number of categories, can output the result of clustering )

dtmf的matlab实现.包含理论分析.适合初学者.(DTMF to achieve the matlab. contains theoretical analysis. suitable for beginners.)

8用户2小区瑞利信道仿真模型，输出snrber曲线(8 Rayleigh Road user 2 cell simulation model, the output snrber curve)

单摆运动过程的建模与仿真，用matlab语言实现(Pendulum motion process modeling and simulation language implementation using matlab)