This letter proposes a simple iterative decoding algorithm for the concatenation codes where the outer code is single-parity-check (SPC) code. The erroneous inner codewords are iteratively combined with maximum ratio combining (MRC) and then re-decoded. Compared with the conventional scheme where the RS outer code concatenation is algebraically decoded to recover the erasures, the proposed scheme has better performance due to MRC processing. On the other hand, the proposed scheme is less complex because the linear combination is simpler than algebraical decoding and the MRC gain can loose the requirement for inner decoder.

Video-based action recognition encompasses the recognition of appearance and the classification of action types. This work proposes a discrete-temporal-sequence-based motion tendency clustering framework to implement motion clustering by extracting motion tendencies and self-supervised learning. A published traffic intersection dataset (inD) and a self-produced gesture video set are used for evaluation and to validate the motion tendency action recognition hypothesis.