the minimun square elimination in curve fitting,introduction how to orgnize the data and has the program flow chat
标签： the introduction elimination minimun
上传时间： 2015-04-25
上传用户：凌云御清风
用MATLAB写的Gaussian elimination算法即LU算法
标签： elimination Gaussian MATLAB 算法
上传时间： 2016-01-14
上传用户：wl9454
2． Using Gaussian elimination method and Gaussian elimination method with row scaled method to solve the following tri-diagonal system for n=10 and 100
标签： method elimination Gaussian scaled
上传时间： 2013-12-31
上传用户：lyy1234
Using Gaussian elimination to solve linear equations.
标签： elimination equations Gaussian linear
上传时间： 2013-12-18
上传用户：shus521
Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any size. This is done by treating // the name of a 2-dimensional array as pointer to the beginning of the // array. This makes use of the fact that arrays in C are stored in // row-major order.
标签： elimination equations Gaussian version
上传时间： 2016-02-14
上传用户：hxy200501
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2016-11-09
上传用户：wang5829
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2014-01-21
上传用户：lxm
Numerical Methods- Gauss elimination
标签： elimination Numerical Methods Gauss
上传时间： 2014-01-26
上传用户：牛津鞋
A very simple Gaussian elimination code in matlab
标签： elimination Gaussian simple matlab
上传时间： 2017-07-26
上传用户：水中浮云
低密度校验码(LDPC)是一种能逼近Shannon容量限的渐进好码，其长码性能甚至超过了Turbo码。低密度校验码以其迭代译码复杂度低，没有错误平层，码率和码长可灵活改变的优点成为Turbo码强有力的竞争对手。目前，LDPC码已广泛应用于深空通信、光纤通信、卫星数字视频和音频广播等领域，因此LDPC码编译码器的硬件实现已成为纠错编码领域的研究热点之一。 本文在分析LDPC码的基本编码结构基础上，首先研究了LDPC码的随机构造方法，并给出了有效的PEG算法实现方法，重点分析了用环消除(cycle elimination)算法实现的准循环LDPC码的构造。然后对LDPC码的几种不同译码算法进行分析比较，讨论了一种适合硬件实现的译码算法-TDMP算法，并对易于硬件实现的TDMP算法进行了性能仿真，仿真结果表明TDMP算法作为硬件实现的译码算法具有优异的性能优势。最后针对Altera公司的StratixEPIS25 FPGA芯片设计了一个基于TDMP算法的(4096，2048)非规则LDPC码译码器，内部用了4个单校验码译码器并行译1帧数据，3帧同时译码，作者详细介绍了该译码器芯片的设计过程和内部结构和工作流程。
上传时间： 2013-05-23
上传用户：fujun35303
