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We consider the problem of target localization by a network of passive sensors. When an unknown target emits an acoustic or a radio signal, its position can be localized with multiple sensors using the time difference of arrival (TDOA) information. In this paper, we consider the maximu ...

System identification with adaptive filter using full and partial-update Least-Mean-Squares

System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares

System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares

The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Developme ...

控制行业中重要的least square parameter solution，里面使用了一个例子，可以将输入改变然后使用

The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Developme ...

Least Square - ARMA 算法的MATLAB代码, 是频谱分析(通常是在高级DSP这门课中会用到的)的常用算法

LRU(最近最少使用算法) and MRU(最近最常使用算法)所谓的LRU(Least recently used)算法的基本概念是:当内存的剩余的可用空间不够时,缓冲区尽可能的先保留使用者最常使用的数据,换句话说就是优先清除”较不常使用的数据”,并释放其空间 ...

This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》