matlab

介绍无源定位的方法，对于无源定位和误差分析极有帮助。(Introduced the method of passive location, location and error analysis for the passive extremely helpful.)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

是计算方法中一种重要的积分方法，即Romberg积分方法的Matlab程序(Is an important method of calculating the integral method, which Romberg integration method in Matlab)

系统辨识中参数辨识ARM模型 基于递推最小二乘法(ARM system identification parameter identification method based on recursive least squares model)

说明：  function result = apm(results1,results2) %

现代智能算法法程序代码，遗传法 贪婪法 模拟退火法 蚂蚁群法 回溯法(Modern intelligent algorithms law code, the genetic method simulated annealing greedy algorithm backtracking ant colony method)

CentralDifference code for multi dimention strucures

生成FPGA编程中rom初始化需要的.mif文件。生成的为1个周期方波波数据。宽度为8，深度为1024(Generate FPGA programming rom initialization required. Mif file. Generated for a cycle square wave data. Width is 8, a depth of 1024)

无需把图像转换成向量形式，而是将图像看成是矩阵形式，大大减少了计算量。(Without the need to convert images to vector form, but the image as a matrix form, greatly reducing the amount of calculation.)

LMS及RLS算法，不错，大家可以(LMS and the RLS algorithm, it is true that we can see!)