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This lecture covers the performance of soft-output linear detection in wireless communication systems, focusing on gains like coding gain and diversity gain. It explains how soft-output linear detectors can compete with hard-output detectors, especially for less stringent bit error rate requirements. The instructor also discusses the complexity of MIMO detection algorithms, including optimum MIMO detection and sphere decoding. The lecture delves into tree traversal strategies, tree pruning, and the computation of distance increments during tree traversal. It concludes with the complexity of sphere decoding and soft-output MIMO detection with tree search.