功能：在默認(rèn)有唯一解的情況下，求出一次方程組的解 使用說明：1.在方程計算器所在目錄下新建一個文本文檔并另存為“matrix”（注意文件名的大小寫和拼寫） 格式： 第一行是未知數(shù)個數(shù)n 后面每行n+1個用空格隔開的數(shù)，表示一個方程 （e.g） 2x+3y-z=6 就輸入 2 3 -1 6 2.保存之后雙擊運(yùn)行“方程計算器” 3.程序會在目錄下生成名為“answer”的文本文檔，打開就是答案了。
標(biāo)簽：
上傳時間： 2016-05-02
上傳用戶：xg262122
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
標(biāo)簽： LDPC introduction simulation software
上傳時間： 2014-01-14
上傳用戶：大融融rr
Sequential Monte Carlo without Likelihoods 粒子濾波不用似然函數(shù)的情況下 本文摘要:Recent new methods in Bayesian simulation have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.
標(biāo)簽： Likelihoods Sequential Bayesian without
上傳時間： 2016-05-26
上傳用戶：離殤
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
標(biāo)簽： LDPC introduction simulation software
上傳時間： 2014-12-05
上傳用戶：change0329
The CoinUtils project is a collection of open-source utilities developed and used by a variety of other projects in the COIN-OR repository. The project includes classes for storing and manipulating sparse matrices and vectors, performing matrix factorization, parsing input files in standard formats, building representations of mathematical programs, comparing floating point numbers with a tolerance, performing simple presolve operations, and warm starting algorithms for mathematical programs, among others.
標(biāo)簽： open-source collection CoinUtils developed
上傳時間： 2013-12-19
上傳用戶：xmsmh
此文件是引文原版的matlab programming 它包括以下內(nèi)容 Creating and Concatenating Matrices Accessing Elements of a Matrix Getting Information About a Matrix 。。。。。 總之包括所有matlab的使用方法
標(biāo)簽： Concatenating programming Accessing Creating
上傳時間： 2016-06-29
上傳用戶：youke111
ofdm信道特性 Channel transmission simulator Channel transmission simulator ％ ％ inputs: ％ sig2 - noise variance ％ Mt - number of Tx antennas ％ Mr - number of Rx antennas ％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column ％ is the value of the antenna outputs at a single time instance) ％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission ％ N - number of symbols transmitted in OFDM frame ％ ％ outputs: ％ y - vector of channel outputs (matrix for MIMO again, just like x matrix) ％ create noise vector sequence (each row is a different antenna, each column is a ％ different time index) note: noise is spatially and temporally white
標(biāo)簽： transmission simulator Channel inputs
上傳時間： 2016-07-22
上傳用戶：kelimu
A semantic session analysis method partitioning Web usage logs is presented．Semantic W eb usage log preparation model enhances usage logs with semantic．The M arkov chain mode1 based on ontology semantic measurement is used to identi． ing which active session a request should belong to．The corn— petitive method is applied to determine the end of the sessions． Compared with other algorithms，more successfu1 sessions are additionally detected by semantic outlier analysis．
標(biāo)簽： usage partitioning presented semantic
上傳時間： 2016-08-06
上傳用戶：gxrui1991
This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet
標(biāo)簽： directory functions interface transform
上傳時間： 2016-08-31
上傳用戶：cooran
Realizing an MP3 player with the LPC2148, using libmad and EFSL This Application Note describes how to integrate the libmad MPEG 1/2 layer 3 library and the Embedded File System Library EFSL in a LPC2148 device to realize MP3 player. The Keil MCB2140 board is used to test the application and the Rowley CrossStudio for ARM has been chosen as a reference tool-chain.
標(biāo)簽： Application Realizing describes player
上傳時間： 2016-09-05
上傳用戶：moerwang
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