QR_RLS

说明：  无约束优化问题一维搜索的常用方法：黄金分割法（golden_section.m）、加步搜索法（plus_step_search.m）、牛顿法（newton.m）、抛物线法（parabola.m）(Unconstrained optimization problem of one-dimensional search of the commonly used methods: Golden Section (golden_section.m), plus step-by-step search method (plus_step_search.m), Newton (newton.m), parabola method (parabola.m))

studentinfo is sample student informat(studentinfo is sample student Informat)

本程序为交互式多模型算法，提供IMM跟踪功能(the procedures for the interactive multi-model algorithm, IMM tracking function)

Antenna design matlab

Metropolis within Gibbs sampling

un article de Calemetts contient Analysis of Non Ambiguous BOC Signal Acquisition Performance

matlab 插值处理的程序 大家可以看看(matlab interpolation processing program you can look at)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

Box-Muller变换，将[0,1]均匀分布转换为[0,1]高斯正态分布，在matlab中也可用randn函数生成正态分布。变换的思想可用于其他没有正态分布随机函数的编程语言（如C）()

Time Invariant Time Varying Systems and circular convolution