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Doubly-Iterative

  • Analysis and Design with UML:Benefits of Visual Modeling History of the UML Visual Modeling with U

    Analysis and Design with UML:Benefits of Visual Modeling History of the UML Visual Modeling with UML The Rational Iterative Development Proce

    標(biāo)簽: Modeling Visual with UML

    上傳時(shí)間: 2015-09-21

    上傳用戶(hù):aig85

  • Verilog HDL: Magnitude For a vector (a,b), the magnitude representation is the following: A c

    Verilog HDL: Magnitude For a vector (a,b), the magnitude representation is the following: A common approach to implementing these arithmetic functions is to use the Coordinate Rotation Digital Computer (CORDIC) algorithm. The CORDIC algorithm calculates the trigonometric functions of sine, cosine, magnitude, and phase using an iterative process. It is made up of a series of micro-rotations of the vector by a set of predetermined constants, which are powers of two. Using binary arithmetic, this algorithm essentially replaces multipliers with shift and add operations. In a Stratix™ device, it is possible to calculate some of these arithmetic functions directly, without having to implement the CORDIC algorithm.

    標(biāo)簽: representation Magnitude the magnitude

    上傳時(shí)間: 2013-12-24

    上傳用戶(hù):金宜

  • In recent years large scientific interest has been devoted to joint data decoding and parameter est

    In recent years large scientific interest has been devoted to joint data decoding and parameter estimation techniques. In this paper, iterative turbo decoding joint to channel frequency and phase estimation is proposed. The phase and frequency estimator is embedded into the structure of the turbo decoder itself, taking into consideration both turbo interleaving and puncturing. Results show that the proposed technique outperforms conventional approaches both in terms of detection capabilities and implementation complexity.

    標(biāo)簽: scientific parameter interest decoding

    上傳時(shí)間: 2015-12-30

    上傳用戶(hù):894898248

  • LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem us

    LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.

    標(biāo)簽: LSVMK Langrangian algorithm Support

    上傳時(shí)間: 2016-04-28

    上傳用戶(hù):tfyt

  • This standard describes a keyed-hash message authentication code (HMAC), a mechanism for message au

    This standard describes a keyed-hash message authentication code (HMAC), a mechanism for message authentication using cryptographic hash functions. HMAC can be used with any iterative Approved cryptographic hash function, in combination with a shared secret key. The cryptographic strength of HMAC depends on the properties of the underlying hash function. The HMAC specification in this standard is a generalization of Internet RFC 2104, HMAC, Keyed-Hashing for Message Authentication, and ANSI X9.71, Keyed Hash Message Authentication Code.

    標(biāo)簽: message authentication keyed-hash describes

    上傳時(shí)間: 2014-01-07

    上傳用戶(hù):鳳臨西北

  • 迭代自適應(yīng)Simpson

    迭代自適應(yīng)Simpson,Lobatto積分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.

    標(biāo)簽: Simpson 迭代

    上傳時(shí)間: 2014-10-25

    上傳用戶(hù):xc216

  • Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful

    Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful pictures such as the one shown above. Any fractal can be described using iterative formulas. So you can generate a fractal by evaluating these formulas and finding the color of each pixel. That is a large computational task, and drawing a fractal needs a fast CPU and a carefully optimized program.

    標(biāo)簽: Generating SSE beautiful Fractals

    上傳時(shí)間: 2016-11-03

    上傳用戶(hù):小鵬

  • 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(biāo)簽: nonsymmetric solution SuperLU general

    上傳時(shí)間: 2017-02-20

    上傳用戶(hù):lepoke

  • observable distribution grid are investigated. A distribution grid is observable if the state of th

    observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimation are generated by the ladder iterative technique. Two methods for the state estimation are analyzed: Weighted Least Squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.

    標(biāo)簽: distribution observable grid investigated

    上傳時(shí)間: 2014-12-08

    上傳用戶(hù):ls530720646

  • 本人根據(jù)opencores.org上的cordic算法改寫(xiě)的可配置位寬的cordic算法

    本人根據(jù)opencores.org上的cordic算法改寫(xiě)的可配置位寬的cordic算法,并且在原始的級(jí)聯(lián)型的基礎(chǔ)上編寫(xiě)的循環(huán)(iterative)型的cordic,可通過(guò)generic配置。帶一個(gè)不可綜合和可綜合的testbench(for altera)。稍微改動(dòng)可應(yīng)用于xilinx fpga

    標(biāo)簽: cordic opencores org 算法

    上傳時(shí)間: 2017-04-10

    上傳用戶(hù):ljt101007

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