搜索资源列表
05
- 高斯列主元消去法，计算方法实现，已编译通过。使用例子 3x1+2x2+2x3+3x4=2.5 5x1+2x2+3x3+4x4=2.5 2x1+2x2+x3+2x4=2 3x1+x2+3x3+2x4=1.5 输入N=4，A={3 2 2 3 5 2 3 4 2 2 1 2 3 1 3 2}，B={2.5 2.5 2 1.5}
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- 用Gauss消元法、选列主元的Gauss消元法求线性方程组（1）的解，要求输出增广矩阵的消元变化过程。 用Gauss消元法、选列主元的Gauss消元法求线性方程组（1）的解，要求输出增广矩阵的消元变化过程 42x1+2x2+3x3=3 x1+7x2+7x3=1 -2x1+4x2+5x3=-7 算法思想：Gauss消元法是将线性方程组化为上三角形线性方程组，然后再用一个回代过程求这个上三角形线性方程组的解；选主元的G
05
- 高斯列主元消去法，计算方法实现，已编译通过。使用例子 3x1+2x2+2x3+3x4=2.5 5x1+2x2+3x3+4x4=2.5 2x1+2x2+x3+2x4=2 3x1+x2+3x3+2x4=1.5 输入N=4，A={3 2 2 3 5 2 3 4 2 2 1 2 3 1 3 2}，B={2.5 2.5 2 1.5} -Gaussian elimination method out PCA method r
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- 用Gauss消元法、选列主元的Gauss消元法求线性方程组（1）的解，要求输出增广矩阵的消元变化过程。 用Gauss消元法、选列主元的Gauss消元法求线性方程组（1）的解，要求输出增广矩阵的消元变化过程 42x1+2x2+3x3=3 x1+7x2+7x3=1 -2x1+4x2+5x3=-7 算法思想：Gauss消元法是将线性方程组化为上三角形线性方程组，然后再用一个回代过程求这个上三角形线性方程组的解；选主元的G
MIMO_OFDM
- 在No Diversity (1Tx, 1Rx)、Alamouti (2Tx, 1Rx)、与Maximal-Ratio Combining (1Tx, 2Rx)三种不同情形下的mimo仿真程序及误码率比较情况-In No Diversity (1Tx, 1Rx), Alamouti (2Tx, 1Rx), and Maximal-Ratio Combining (1Tx, 2Rx) three different cases of MI
MRC1x2
- 2x1 MRRC using BPSK
STBCBPSK2x1
- Alamouti code 2x1 using BPSK
Alamouti_2_1_qpsk
- Alamouti 2x1 system with QPSK modulation
gui_2x1_2x2
- Alamouti STBC Graphic User Interface(GUI) with 2x1,2x2 receive antenna
mult2x2.2x1
- This program multiply two matrixes
Jacobidiedai
- 用雅克比迭代法解下列方程组 10x1-x2+2x3=-11 8x2-x3+3x4=-11 2x1-x2+10x3=6 -x1+3x2-x3+11x4=25-Jacobi iterative method with the solution of the following equations 10x1-x2+2 x3 =- 11 8x2-x3+3 x4 =- 11 2x1-x2+10 x3 = 6-x1+3 x2-x3+
GaussSeideldiedai
- 高斯—赛德尔迭代法解下列方程组 10x1-x2+2x3=-11 8x2-x3+3x4=-11 2x1-x2+10x3=6 -x1+3x2-x3+11x4=25-Gauss- Seidel iterative solution of the following equations 10x1-x2+2 x3 =- 11 8x2-x3+3 x4 =- 11 2x1-x2+10 x3 = 6-x1+3 x2-x3+11 x4 =
mux2x1
- mux 2x1 designed on vhdl fpga adv. pro
beamforming
- Beamforming 2x1 rayleigh
Java-1.5-Light-2x1.pdf.tar
- It is a Java guide for SCJP examination.
decomp_reconst_W
- Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type
Alamouti_2x1_ant_selection
- 在MIMO 2x1天线选择系统中，利用Alamouti编码，计算系统的BER-In the 2x1 antenna selection, the use of Alamouti coding, computing system BER
fit_mix_2D_gaussian
- fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians whi
STBC-2X1
- sc-fdma系统的2X1mimo采用STBC编码方式高斯白噪声 -sc-fdma system with STBC encoding 2X1mimo white Gaussian noise
Alamouti-Code-2X1-16-Qam
- Alamouti Code 2X1 16-Qam