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The solution that gives the MMSE is accepted and the iterations are repeated until the total bit-budget is exhausted.
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The proposed algorithm is a generalization of a class of bit-allocation algorithms in which a small fraction ΔB of the total bit-budget B is allocated to the "most deserving" quantizer among a set of quantizers in an incremental fashion, until the entire bit-budget is exhausted [[4], Section 8.4].
The trade-off is most severe at low bit rates, where header bits occupy a significant portion of the total bit budget.
The effect of reduced coding efficiency and additional overhead bits when using FMO is progressively severe at low bit rates, where header bits can occupy a significantly larger portion of the total bit budget compared to the source bits.
It is also feasible to allocate really small fraction of the total bit budget for compressing the depth, thus allowing for high-quality backward compatibility and channel fidelity.
Depth maps in this scenario are heavily compressed, to consume not more than 10-20% of the total bit budget [21, 22].
The substreams are further protected by the channel coder with a single error correcting code until the bit budget is exhausted.
As expected, the average total bit rate increases with the maximum transmit power budget.
The total federal budget this year is $2.1 trillion.
The total health budget in 2015-16 was £12.2bn.
That would be more than half the total federal budget.
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