Cluster-Analysis-Chapter-9

Matlab function o decimate an image

高斯赛德尔迭代法，雅可比迭代法，理查森迭代算法，超松弛迭代算法的matlab程序。上述算法均用于求解线性方程组。(High Sisaideer iterative method, Jacobi iteration, Richardson iterative algorithm, over relaxation algorithm matlab program. The algorithm for solving linear equations.)

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)

说明：  IMC控制器设计源程序，已通过matlab，控制效果较佳(IMC controller design source code, has passed matlab, better control effect)

NARMAX模型重构，用matlab实现了一个二次二次曲面的重构(NARMAX model reconstructed using Matlab achieved a second conicoid Reconstruction)

LZW就是通过建立一个字符串表,用较短的代码来表示较长的字符串来实现压缩. (LZW is through the establishment of a string table, with a short code to represent long strings to achieve compression.)

Convert from RGB to Indexed Image

这是一个Matlab实现的图像Multiwavelet程序，用于计算图像的Framelet系数。(This is a Matlab implementation of image Multiwavelet procedures used to calculate the image Framelet factor.)

阵列信号处理中的零点预处理算法，内含基本算法及对旁瓣的改进算法，注释很详细。另附本人做的利用该算法进行阵列信号处理的仿真PPT。(the zero_point preprocessing algorithm in array signal processing, containing the basic algorithm and improved algorithm for sidelobe, very detailed notes. Attached I do use this algorithm for array signal processing simulation PPT.)

说明：  此为频偏校正程序,通过TD_GG算法得到的频偏值还存在几赫兹的残余频偏，这里，我们可以通过反馈算法进行校正，以得到更加精确的频偏值。(for this frequency offset correction procedure for the adoption of the algorithm TD_GG Frequency values still exist remnants of a few hertz frequency offset, here, we can pass feedback correction algorithm, to be more precise frequency offset value.)