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Chapter and Conference Paper
Data-Driven Measurement Matrix Design for Sparse Channel Reconstruction in Massive MIMO Systems
For massive multiple-input multiple-output systems, one can exploit the channel sparsity in angular domain and formulate the channel estimation problem as a compressive sensing problem. In such channel estimat...
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Chapter and Conference Paper
Normalized Metric Learning Based on Multi-feature Fusion for Person Re-identification
Person re-identification remains a critical conundrum of intelligent video surveillance system, which intends to query pedestrians with the same identity. It is of great significance to extract features with s...