calll2bp5

学进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。(school with a better understanding of classification of the design concept, According to the design of linear classification for a more profound understanding, Fisher understood the criteria to determine the best method of linear interface of the theory, Lagrande and multiplier for the principle.)

measurement for state estimation

result of filtering in audio processing

KASAMI CODE USED FOR SPREAD SPECTRUM COMMUNICATION DESIGNED USING MAT LAB CODE

提出一种基于Teager能量算子的小电流接地 系统的单相故障选线方法。通过EMD时空滤 波，在故障线路零序电流中提取暂态分量作 为特征量，以Teager能量算子法求得暂态分 量的瞬时频率、实际频率和幅值，进而得到 信号的能量均值，再以能量均值为故障判 据，从而检测出故障线路。经Matlab/Simulink 仿真验证，结果表明该方法的有效性，且算 法简便(Single-phase fault line selection method for the system. Time-space filtering through EMD)

Sphere 函数的MATLAB实现。Sphere函数是一个优化问题的测试函数，经常用于优化问题的测试。(Sphere function of MATLAB implementation. Sphere function is a test function optimization problem, often used for optimization of the test.)

加行高斯白噪声下的低密度奇偶校验码的算法，简单的程序，对初学者有用。(Add the line under the Gaussian white noise low-density parity-check codes of the algorithm, a simple procedure, useful for beginners.)

基于simulink的apf matlab程序，希望对大家有所帮助。(the apf Matlab program based on Simulink, hope to be useful for you!)

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)

最大似然和最大后验概率算法描述，比较性能，仿真分析(Maximum likelihood and maximum a posteriori probability algorithm description, comparative performance, simulation analysis)