搜索资源列表
LTE_channel
- 这是一个关于基于lte信道的程序，自己项目组编写的，能有帮助-This is a channel based on LTE procedures, prepared their own project team, will be able to help
BD_SVD_LIANGTIANXIAN_blast
- 基于BD-SVD分解的下行CoMP预编码算法仿真-Based on the BD-SVD decomposition of the downlink the CoMP pre-coding algorithm simulation
ofdm_MIMO_Rayleigh
- ofdm+mimo+rayleigh仿真M文件，需要研习的请下载。-ofdm+mimo+rayleigh整个通信模型仿真，包含预编码，SVD（奇异值分解），SER计算，自适应（SISO的），OFDM调制解调
DWT-SVD
- cdma code for developing the code
rayleigh-channel
- 建立一个多径瑞利信道，与信道分解代码一起构成完整的信道矩阵，可直接作为信道增益矩阵-a rayleigh channel metric is proposed,together with the SVD decomposition ,it can be directly used as a channel gain metric
05540704[2]
- 基于EMD-ARmodel和支持向量基的非线性振动信号的文章，学习非线性的同学可以看下，外文的来自I-Feature Extraction & Application of Engineering Non-stationary Signals Based on EMD-AR Model and SVD
COMP
- BER calculation using SVD decomposition in COMP Network
WaterFilling
- MIMO注水算法，仿真系统容量，信道H奇异值分解后V矩阵的PDF.亲测可运行。-The Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after SVD decomposition) is distributed as water-filling algorithm the pdf of the matri
pointpre
- 实现点对点的迫零、最小均方误差和奇异值分解的预编码-point-to-point pre-coding including ZF,MMSE,SVD.
LSLMMSESVD_ofdm_channel
- ls mmse SVD分解等信道估计方法-channnel estimation
precoding
- 有限反馈预编码仿真程序，包括2bit、4bit、7比特格拉斯曼码本，采用基于SVD分解的码本选择算法。-Limited feedback precoding simulation program, including 2bit 4bit 7bit Grassmannian codebook codebook selection algorithm based on SVD decomposition.
matlab-simulation-code-of-L1SVD
- IEEE 期刊论文 著名算法 L1-svd matlab仿真源代码 -IEEE Journal --famous algorithm of L1-svd A simulation source code written by matlab
Analysis_KSVD_box
- K-svd algorithm for Image and communication.
359
- mimo with svd decomposition channal
奇异值分解(SVD).cpp
- 奇异值分解(SVD)VC++程序，网上的都有错误，此程序修正了错误的地方。(Singular value decomposition (SVD) VC ++program, there are errors on the Internet, this program fixes the wrong place.)
makbol2016
- visual cryptography using dwt-svd paper
有限反馈预编码
- 给出了DFT码本的构造方法以及SVD分解获取最佳预编码，接收端使用MMSE(The construction method of DFT codebook and SVD decomposition are given to obtain the best precoding. The receiving end uses MMSE.)