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Data bits are decoded using convolutional decoder with traceback depth of 15 bits.
Consequently, a maximum likelihood (ML) decoder with high decoding efficiency on tail-biting trellises is important and desirable for studying tail-biting codes.
when it is decoded using a sphere decoder with halting policies.
First, two key frames are decoded by the corresponding intra decoder with a received bitstream.
With this knowledge, in Section 4, the ML decoder with a worst-case decoding complexity of O(M4.5) is derived.
In this section, we explain a low-power LDPC decoder with the ACM LDPC decoding flow shown in Figure 3.
In addition, the proposed decoders outperform the Guo-Nilsson sphere decoder with 16-QAM modulation.
Each bitstream was decoded with the H.264/AVC reference software decoder with motion-compensated error concealment turned on [18].
The combination of a bitstream decoding processor and parallel back-end decoding is useful for implementing a real-time multi-format decoder with low power consumption.
Moreover, we use a multiplicity of three which yields a decoder with a reasonable trade-off of error tolerance and decoding time, i.e. less than a second [71].
The received bit stream is input to the core decoder decoding the low-band audio signal, and providing the SBR decoder with the SBR relevant bit stream data.
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