Abstract: Data that is predicted across pictures in a video sequence is managed by separating the data into multiple data types. Instead of keeping all data associated with a decoded picture, such as picture sample values and motion vector data, data associated with a decoded picture is split by data type to enable storing only a subset of all data associated with a decoded picture.

Abstract: A frame error concealment method based on frames including transform coefficient vectors including the following steps: It tracks sign changes between corresponding transform coefficients of predetermined sub-vectors of consecutive good stationary frames. It accumulates the number of sign changes in corresponding sub-vectors of a predetermined number of consecutive good stationary frames. It reconstructs an erroneous frame with the latest good stationary frame, but with reversed signs of transform coefficients in sub-vectors having an accumulated number of sign changes that exceeds a predetermined threshold.

Abstract: A method for crest factor reduction (CFR). The method includes: generating a signal, xs(t); generating a vector, x(t), of size N×1 based on xs(t), wherein N>1; generating a clipping signal vector, z(t), based on x(t), wherein z(t) is a vector of size N×1; producing a transformed signal vector, y(t), based on z(t), wherein y(t) is a vector of size N×1; and generating an output signal vector, xp(t), based on y(t) and x(t), wherein generating xo(t) comprises subtracting y(t) from x(t) and xo(t) is a vector of size N×1.

Abstract: During PDN connection establishment in the EPC, a UE and a session managment entity (SME) (e.g., PGW-C+SMF) exchange information. In case the SME supports more than one S-NSSAI, before the SME provides an S-NSSAI to the UE, the SME should check such that the selected S-NSSAI is among the UE's subscribed S-NSSAIs by retrieving the Subscribed S-NSSAI from a UDM using, for example, the Nudm_SDM_Get service operation.