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内容包括MIMO信道测量，模型，性能分析，空时编码，基于全部或部分信道信息的空间复用和发射设计等-Including MIMO channel measurements, modeling, performance analysis, space-time coding based on channel information in whole or in part the spatial multiplexing and transmit design
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VC2010及IT++4.2下实现MIMO的仿真-This example demonstrates how to use the Modulator_ND (MIMO) class for soft-output demodulation. The program simulates a simple convolutionally coded spatial-multiplexing (V-BLAST style) MIMO system with maximum-likelihood, a
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多用户空间复用OFDM系统中的子载波分配参考文献-Multi-user spatial multiplexing sub-carrier allocation in OFDM systems
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the code simulates the MIMO-OFDM spatial multiplexing with successive interference cancellation
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To do complex SVD for non-codebook precoding in open loop spatial multiplexing in MIMO, Householder Reduction and QR Diagonalization is applied to H matrix to obtain eigenvalues and eigenvectors of matrix.
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PERFORMANCE ANALYSIS OF MUTUAL INFORMATION DISTRIBUTION IN A MULTIUSER BASED ENVIRONMENT USING OFDM SPATIAL MULTIPLEXING
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IEEE(2010) paper on A Two-Stage Receiver With Soft Interference
Cancellation for Space-Time Block Code and
Spatial Multiplexing Combined Systems
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MIMO technology spatial multiplexing
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3x3 MIMO spatial multiplexing system with MMSE receiver
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Maximum likelihood receiver for MIMO spatial multiplexing system
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空时无线通信导论书中图7.10（未编码空间复用的破零接收机的误符号率曲线）的仿真-7.10 (zero-breaking receiver symbol error rate curve uncoded spatial multiplexing) simulation of space-time diagram of wireless communication Introduction
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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based p
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Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based p
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spatial multiplexing in MIMo matlab code
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Upper-lower bounded-complexity QRD-M for spatial multiplexing MIMO-OFDM systems
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MIMO MULTIPLE INPUT MULTIPLE OUTPUT
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Multi-user spatial multiplexing combined with
packet aggregation can significantly increase the performance of Wireless Local Area Networks (WLANs).
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The four codes are matlab codes
1) Diversity schemes wireless communication
2) Implement Spatial Multiplexing for MIMO System.
3)Reed Solomon RS code for a given system.
4) Clustering using Vector Quantization neural networks
The fifth code
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MU-MIMO is widely considered a key technology
for system capacity improvement in modern
wireless networks. In contrast to
SU-MIMO, where the spatial multiplexing gain
is confined to a single user, MU-MIMO allows
multiple users to be co-sche
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Signal identification represents the task of a receiver
to identify the signal type and its parameters, with applications
to both military and commercial communications. In this paper,
we investigate the identification of spatial multiplexing (
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