A Numerical Photonics library written in C++. The library includes beam propagation method, coupled mode method, Bragg Gating Analysis, transfer matrix method, and vectorial Fourier DECOMposition method. Very useful in simulating integrated Photonic devices
標簽： library propagation Numerical Photonics
上傳時間： 2013-12-22
上傳用戶：wendy15
Hilber-Huang變換的MATLAB程序 Mat_emd is a Matlab program demonstrating performing the Empirical Mode DECOMposition and Hilbert-Huang transform on seismic reflection data
標簽： demonstrating Hilber-Huang performing Empirical
上傳時間： 2016-04-03
上傳用戶：zhangyigenius
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA contains the variances of each of the principal components. This is computed using the eigenvalue and eigenvector DECOMposition of X.
標簽： Probabilistic Components Principal Analysis
上傳時間： 2016-04-28
上傳用戶：qb1993225
Understanding of software development methodologies and concepts, experience with full product lifecycle from scope to customer release 5. Strong design DECOMposition skills, analysis and testing 6. Proactive approach to problem solving 7. Strong communication skills are paramount as is drive and determination, and stron
標簽： Understanding methodologies development experience
上傳時間： 2013-12-25
上傳用戶：zhliu007
Image Compression A collection of simple routines for image compression using different techniques. 圖象壓縮的不同方法 BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value DECOMposition. The given codes can be also used in 2D noise suppression. Notes: The function "conv2fft" performs a 2D FFT-based convolution. Type "help conv2fft" on Matlab command window for more informations.
標簽： Compression compression collection different
上傳時間： 2016-05-11
上傳用戶：磊子226
Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after DECOMposition) is distributed as water-filling algorithm
標簽： antenna Capacity analyzed transmit
上傳時間： 2016-07-13
上傳用戶：zhichenglu
IN highly scattered enviroment，the Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after DECOMposition) is distributed as water-filling algorithm
標簽： enviroment scattered highly IN
上傳時間： 2014-01-25
上傳用戶：SimonQQ
包括使用修正Gram-Schmit算法實現(xiàn)QR分解，自編LU分解、利用冪法和反冪法計算矩陣最大和最小特征值的程序。例外附有使用這些算法的例子供參考。 QR DECOMposition algorithm based on modified Gram-Schmit LU DECOMposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse power method and some examples are also included.
標簽： Gram-Schmit 正 分解 算法
上傳時間： 2016-09-07
上傳用戶：cooran
Mapack可用來做矩陣運算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value DECOMposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.
標簽： Mapack computations supports algebra
上傳時間： 2017-01-26
上傳用戶：tb_6877751
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
