the minimun square Elimination in curve fitting,introduction how to orgnize the data and has the program flow chat
標簽： the introduction Elimination minimun
上傳時間： 2015-04-25
上傳用戶：凌云御清風
用MATLAB寫的Gaussian Elimination算法即LU算法
標簽： Elimination Gaussian MATLAB 算法
上傳時間： 2016-01-14
上傳用戶：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
標簽： method Elimination Gaussian scaled
上傳時間： 2013-12-31
上傳用戶：lyy1234
Using Gaussian Elimination to solve linear equations.
標簽： Elimination equations Gaussian linear
上傳時間： 2013-12-18
上傳用戶：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.
標簽： Elimination equations Gaussian version
上傳時間： 2016-02-14
上傳用戶：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.
標簽： illustrates Elimination Gaussian pivoting
上傳時間： 2016-11-09
上傳用戶：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.
標簽： illustrates Elimination Gaussian pivoting
上傳時間： 2014-01-21
上傳用戶：lxm
Numerical Methods- Gauss Elimination
標簽： Elimination Numerical Methods Gauss
上傳時間： 2014-01-26
上傳用戶：牛津鞋
A very simple Gaussian Elimination code in matlab
標簽： Elimination Gaussian simple matlab
上傳時間： 2017-07-26
上傳用戶：水中浮云
低密度校驗碼(LDPC)是一種能逼近Shannon容量限的漸進好碼，其長碼性能甚至超過了Turbo碼。低密度校驗碼以其迭代譯碼復雜度低，沒有錯誤平層，碼率和碼長可靈活改變的優點成為Turbo碼強有力的競爭對手。目前，LDPC碼已廣泛應用于深空通信、光纖通信、衛星數字視頻和音頻廣播等領域，因此LDPC碼編譯碼器的硬件實現已成為糾錯編碼領域的研究熱點之一。 本文在分析LDPC碼的基本編碼結構基礎上，首先研究了LDPC碼的隨機構造方法，并給出了有效的PEG算法實現方法，重點分析了用環消除(cycle Elimination)算法實現的準循環LDPC碼的構造。然后對LDPC碼的幾種不同譯碼算法進行分析比較，討論了一種適合硬件實現的譯碼算法-TDMP算法，并對易于硬件實現的TDMP算法進行了性能仿真，仿真結果表明TDMP算法作為硬件實現的譯碼算法具有優異的性能優勢。最后針對Altera公司的StratixEPIS25 FPGA芯片設計了一個基于TDMP算法的(4096，2048)非規則LDPC碼譯碼器，內部用了4個單校驗碼譯碼器并行譯1幀數據，3幀同時譯碼，作者詳細介紹了該譯碼器芯片的設計過程和內部結構和工作流程。
上傳時間： 2013-05-23
上傳用戶：fujun35303
