minconSimpSearch2

K近邻方法实现0到9数字的模式识别问题。可扩展性很强，方面实现训练和识别。(K nearest neighbor method to achieve 0 to 9 digit pattern recognition problem. Highly scalable, achieving training and recognition.)

说明：  信号处理工具箱,用MATLAB来进行信号处理(Signal Processing Toolbox with MATLAB for Signal Processing)

改进前推回代潮流算法，计算潮流，适应强，迭代次数少。(Improved push back the tide before generation algorithms, computing trends, adaptable, less iterations.)

本文论述了图像压缩技术的发展和标准, 介绍了几种常用经典图像压缩方法和现代压缩的算法及应用情况, 有 机的结合现有的研究方法才能解决图像压缩的众多问题。(This article discusses the development of image compression technology and standards, the authors introduced some classic and modern compression image compression algorithm and application of organic methods combined with the existing image compression can be resolved many issues.)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

经典的MUSIC算法程序，可仿真出图形，有求MUSIC算法均方根误差的源程序(The classic MUSIC algorithm can emulate the graphics are asking MUSIC algorithm RMSE source)

一个信号处理的matlab代码关于Gibbs现象(A signal processing matlab code On the Gibbs phenomenon)

三次样条插值matlab程序(含多种边界条件)(matlab )

MUSIC算法是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里给出的是基于四阶累计量的MUSIC算法。(MUSIC algorithm for DOA estimation algorithm is based on the decomposition characteristics of the antenna array covariance matrix given here is based on the fourth-order cumulant MUSIC algorithm.)

包含pid控制器的一些程序，能够生成有故障或无故障数据，为一些相应matlab仿真提供数据(we can use it to produce pid-data)