Least
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Least 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 181 篇文章，持续更新中。
This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. Th
This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. The example shows how one can use the utility to estamate the parameters of a simple linear discrete t
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
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
System identification with adaptive filter using full and partial-update Least-Mean-Squares
System identification with adaptive filter using full and partial-update Least-Mean-Squares
Please read your package and describe it at least 40 bytes. System will automatically delete the di
Please read your package and describe it at least 40 bytes.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.
Toolbox for Numerical Computing with MATLAB （by Cleve Moler). Numerical Computing with MATLAB （
Toolbox for Numerical Computing with MATLAB （by Cleve Moler).
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technica
This program demonstrates some function approximation capabilities of a Radial Basis Function Networ
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitra
System identification with adaptive filter using full and partial-update Recursive-Least-Squares
System identification with adaptive filter using full and partial-update Recursive-Least-Squares
After the successful global introduction during the past decade of the second generation (2G) digita
After the successful global introduction during the past decade of the second generation (2G) digital
mobile communications systems, it seems that the third generation (3G) Universal Mobile Communica
In computer vision, sets of data acquired by sampling the same scene or object at different times, o
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the pr
Least-squares searching for receiver position.Given 4 or more pseudoranges and ephemerides.
Least-squares searching for receiver position.Given 4 or more pseudoranges and ephemerides.
C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm. levmar includes
C/C++ implementation of the Levenberg-Marquardt non-linear
least squares algorithm. levmar includes double and single precision LM versions, both
with analytic and finite difference approximated jac
Please read your package and describe it at least 40 bytes. System will automatically delete the di
Please read your package and describe it at least 40 bytes.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.
Please read your package and describe it at least 40 bytes. System will automatically delete the di
Please read your package and describe it at least 40 bytes.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.
Least Squares Fitting of Data
Least Squares Fitting of Data
ase read your package and describe it at least 40 bytes. System will automatically delete the direc
ase read your package and describe it at least 40 bytes.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.
Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the Co
Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the Constrained Least Mean Squares (LMS) algorithm for Beamforming
LMS: Least Mean Square the source code for state space environment.
LMS: Least Mean Square
the source code for state space environment.
Please read your package and describe it at least 40 bytes. System will automatically delete the di
Please read your package and describe it at least 40 bytes.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.
Please read your package and describe it at least 40 bytes in English. System will automatically de
Please read your package and describe it at least 40 bytes in English.
System will automatically delete the directory of debug and release, so please do not put files on these two directory.
this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up
this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each c