Saif

积分:340
上传文件:7
下载次数:159
注册日期:2014-10-20 21:18:58

上传列表
Training-Signal-Design-for-Correlated-MassiveMIMO - Maasive MIMO systems the most emerging technology,2017-05-24 16:39:01,下载1次
Dictionary-of-Engineering.rar - This the dictionary of engineering terms,2017-05-24 16:33:46,下载1次
2016-Compressive-Covariance-Sensing.rar - This is the file for the omp algorithm for compressed sensing,2017-05-24 16:32:32,下载4次
sPHERE-dECODE.rar - tHIS IS THE CODE FOR mimo MSE,2017-05-24 16:29:20,下载4次
cODE_OSIC_GENERAL.rar - This is code for MIMO detection Schemes,2017-05-24 16:27:06,下载5次
norms.rar - Norms Description about l1 l2 in details,2017-02-02 13:56:08,下载2次
IJET12-04-05-047.zip - BER PERFORMANCE IMPROVEMENT USING MIMO TECHNIQUE OVER RAYLEIGH WIRELESS CHANNEL,2014-10-20 21:22:50,下载2次

近期下载
Image-fusion.zip - 将图像融合后,在实现解混合,采用ica的不同算法进行对比研究
Computational_Complexity.zip - NOMA ....\2015-Cooperative Non-Orthogonal Multiple Access in 5G Systems.pdf ....\2015-Fairness for Non-Orthogonal Multiple Access in 5G Systems.pdf ....\2015-Non-orthogonal multiple access for 5G� � solutions, challenges, opportunities, and future research trends.pdf ....\2015-Non-Orthogonal Multiple Access for Multiple-Antenna Relaying Networks.pdf ....\2016-On the Power Allocation for a Practical Multiuser Superposition Scheme in NOMA Systems.pdf ....\2016-Uplink Nonorthogonal Multiple Access in 5G Systems.pdf ....\Uplink Non-Orthogonal Multiple Access for 5G Wireless Networks.pd
NOMA_ZF.zip - 5G 技术 NOMA 运用ZF SIC 可简单使用
compare NOMA OFDMA.zip - OFDMA NOMA Comparaison
czf_blurcue.zip - In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).
NSCT_SF_PCNN.zip - code for 'Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain'
cont.rar - this code is the image fusion of multifocus images using contourlet transform
FusionEvaluation.rar - Please run Demo_evaluation.m This toolbox contains Matlab files that implement the image fusion criteria used in my paper Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008.

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