The propagation channel is an L=16 -path block Rayleigh fading channel having uniform power-delay profile, where the path gains {hl,x y; l = 0 ∼L − 1} remain constant over one OFDM/TDM frame length and vary frame-by-frame.
We further assume that all the fading coefficients such as and are constant during a transmit frame and vary from frame to frame, that is, quasistatic fading channels.
To ensure consistent coding of transients regardless of localization within codec frames, the SBR frames have variable time boundaries, that is, the exact duration in time covered by one SBR frame may vary from frame to frame.
This is due to the η values for the DDFU (first frame η) are based on the content of the testing sequence, if the content of the sequence does not vary hugely frame by frame, neither does the value of η, while the values of the predetermined η are user defined values, which means they do not take the content of the sequence into account.
The rows and nodes affected by the problem vary from frame to frame.
Moreover, since the picture content may vary, from frame to frame, from simple close-up shots having little fine detail to comprehensive distant scenes in which the limiting detail of the system comes into play, the actual rate of transmitting the picture information varies considerably.
KLT algorithm occasionally loses features, because these features may go out of bounds or vary from frame to frame, or because the computation fails.
The channel gains are invariant within a frame, but vary over frames (i.e., block-fading channels).
In case of ZigBee interference signals, errors may appear randomly at any point during the time the WiFi demodulator is active, while for WiFi modulated signals error statistics vary during frame reception and depend on frame length and modulation used.
A re-estimation of the pitch of each note based on the updated template matrix is necessary because all templates, as well as pitches, can vary by frame.
However, even if the complexity necessary for transformation work remains constant, since DVFS is conducted, the transformation work will be affected by frequency scaling, and thus, the energy consumption necessary will vary by frame.
