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LMFnlsq2_220413
L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。本文件里面有源码和测试码以及对该方法的具体介绍PDF文件。欢迎下载。(L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, change method can fast and accurate approximation convergence value.This paper briefly describes the operating principle of change method and concrete application, such as easy to solve constrained and unconstrained optimization.This document there are source code and test code as well as to the PDF file the detailed introduction of the method.Welcome to download.)
- 2014-11-12 23:07:29下载
- 积分：1
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BoostArchiveDemo
Boost实现序列化,c++bulderXE2编译。(Boost achieve serialization)
- 2014-11-28 15:43:34下载
- 积分：1
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svd
对一个信号进行奇异值分解，根据差分谱最大值点，重构信号，达到降噪的目的。(Signal for a singular value decomposition, according to the differential spectrum maximum point, the reconstructed signal to achieve noise reduction purposes.)
- 2020-10-21 15:07:24下载
- 积分：1
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BatchPerceptron
Batch perceptron algorithm for linear discriminants
- 2012-05-19 05:37:30下载
- 积分：1
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p506
现代功率谱估计中的参数估计AR模型 比经典谱估计有更好的分辨率(modern power spectrum estimation of the AR model parameter estimation than the classical spectrum estimates have a better resolution)
- 2007-05-20 20:05:03下载
- 积分：1
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xiaobo
小波分次谐波分解 用来解决傅里叶分解难以处理的分数次谐波(Harmonic decomposition wavelet decomposition is used to solve difficult to deal with fractional Fourier harmonics)
- 2013-11-30 18:38:02下载
- 积分：1
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ROOTS
finding roots to a function using bisection and newton method
- 2015-03-25 18:10:57下载
- 积分：1
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hilbert
matlab 分形hilbert曲线 复数向量编码，编码简短精炼，很值得学习。 (matlab fractal hilbert curve complex vector, coding short refining, it is worth learning.)
- 2011-05-01 18:19:16下载
- 积分：1
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Digital-Base-Band
稻森千惠基于MATLAB的数字基带通信系统仿真(The Inamori qianhui communicate with MATLAB-based digital baseband system simulation)
- 2012-06-17 12:58:07下载
- 积分：1
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pcan-light
peak-system canopen驱动(peak-system the driver of can is necessary for the development of canopen. )
- 2012-11-22 11:24:12下载
- 积分：1
