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substitution

The file is substitution cipher assistant.It Will display the ciphertext underneath the guessed plai

The file is substitution cipher assistant.It Will display the ciphertext underneath the guessed plaintext.

標簽： substitution ciphertext underneath assistant

上傳時間： 2014-11-29

上傳用戶：從此走出陰霾
高吞吐量LDPC碼編碼構造及其FPGA實現

低密度校驗碼（LDPC，Low Density Parity Check Code）是一種性能接近香農極限的信道編碼，已被廣泛地采用到各種無線通信領域標準中，包括我國的數字電視地面傳輸標準、歐洲第二代衛星數字視頻廣播標準（DVB-S2，Digital Video Broadcasting-Satellite 2）、IEEE 802.11n、IEEE 802.16e等。它是3G乃至將來4G通信系統中的核心技術之一。當今LDPC碼構造的主流方向有兩個，分別是結合準循環（QC，Quasi Cyclic）移位結構的單次擴展構造和類似重復累積（RA，Repeat Accumulate）碼構造。相應地，主要的LDPC碼編碼算法有基于生成矩陣的算法和基于迭代譯碼的算法。基于生成矩陣的編碼算法吞吐量高，但是需要較多的寄存器和ROM資源；基于迭代譯碼的編碼算法實現簡單，但是吞吐量不高，且不容易構造高性能的好碼。本文在研究了上述幾種碼構造和編碼算法之后，結合編譯碼器綜合實現的復雜度考慮，提出了一種切實可行的基于二次擴展（Dex，Duplex Expansion）的QC-LDPC碼構造方法，以實現高吞吐量的LDPC碼收發端；并且充分利用該類碼校驗矩陣準循環移位結構的特點，結合RU算法，提出了一種新編碼器的設計方案。基于二次擴展的QC-LDPC碼構造方法，是通過對母矩陣先后進行亂序擴展（Pex，Permutation Expansion）和循環移位擴展（CSEx，Cyclic Shift Expansion）實現的。在此基礎上，為了實現可變碼長、可變碼率，一般編譯碼器需同時支持多個亂序擴展和循環移位擴展的擴展因子。本文所述二次擴展構造方法的特點在于，固定循環移位擴展的擴展因子大小不變，支持多個亂序擴展的擴展因子，使得譯碼器結構得以精簡；構造得到的碼字具有近似規則碼的結構，便于硬件實現；（偽）隨機生成的循環移位系數能夠提高碼字的誤碼性能，是對硬件實現和誤碼性能的一種折中。新編碼器在很大程度上考慮了資源的復用，使得實現復雜度近似與碼長成正比。考慮到吞吐量的要求，新編碼器結構完全拋棄了RU算法中串行的前向替換（FS，Forward substitution）模塊，同時簡化了流水線結構，由原先RU算法的6級降低為4級；為了縮短編碼延時，設計時安排每一級流水線計算所需的時鐘數大致相同。這種碼字構造和編碼聯合設計方案具有以下優勢：相比RU算法，新方案對可變碼長、可變碼率的支持更靈活，吞吐量也更大；相比基于生成矩陣的編碼算法，新方案節省了50％以上的寄存器和ROM資源，單位資源下的吞吐量更大；相比類似重復累積碼結構的基于迭代譯碼的編碼算法，新方案使高性能LDPC碼的構造更為方便。以上結果都在Xilinx Virtex II pro 70 FPGA上得到驗證。通過在實驗板上實測表明，上述基于二次擴展的QC-LDPC碼構造和相應的編碼方案能夠實現高吞吐量LDPC碼收發端，在實際應用中具有很高的價值。目前，LDPC碼正向著非規則、自適應、信源信道及調制聯合編碼方向發展。跨層聯合編碼的構造方法，及其對應的編碼算法，也必將成為信道編碼理論未來的研究重點。

標簽： LDPC FPGA 吞吐量編碼

上傳時間： 2013-07-26

上傳用戶：qoovoop
spn算法加密和解密

spn算法加密和解密，substitution（代換），生成S或P逆盒

標簽： spn 算法加密解密

上傳時間： 2014-12-20

上傳用戶：獨孤求源
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statisti

The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.

標簽： least-squares unconstrained Statisti Applied

上傳時間： 2015-05-14

上傳用戶：aig85
介紹OO設計的基本模式和原則面向對象的類設計原則開放關閉原則The Open Closed Principle (OCP) Liskov 替換原則The Liskov Substitutio

介紹OO設計的基本模式和原則面向對象的類設計原則開放關閉原則The Open Closed Principle (OCP) Liskov 替換原則The Liskov substitution Principle(LSP) 依賴性倒置原則The Dependency Inversion Principle (DIP)

標簽： Liskov Substitutio The Principle

上傳時間： 2013-12-10

上傳用戶：zhangyi99104144
SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems

SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perform an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions.

標簽： nonsymmetric solution SuperLU general

上傳時間： 2017-02-20

上傳用戶：lepoke
高保真成分替換圖像融合算法實現

High-Fidelity Component substitution Pansharpening by the Fitting of substitution Data 代碼實現

標簽： High-Fidelity Component substitution Pansharpening by the Fitting of substitution Data matlab

上傳時間： 2015-05-04

上傳用戶：rrrr123789

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substitution

The file is substitution cipher assistant.It Will display the ciphertext underneath the guessed plai

高吞吐量LDPC碼編碼構造及其FPGA實現

spn算法加密和解密

The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statisti

介紹OO設計的基本模式和原則面向對象的類設計原則開放關閉原則The Open Closed Principle (OCP) Liskov 替換原則The Liskov Substitutio

SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems

高保真成分替換圖像融合算法實現