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There is a very large number of considerations that affect the selection of the best method of frequency-division demultiplexing signals in a particular application. As a result, it is virtually impossible to provide a simple cookbook methodology that always produces the best design. Even so, it is useful to systematically describe the design issues and choices evaluated so far in this technical note. Such a description, condensed into a design flowchart, is discussed in this section. Comparison of it with the design examples provided in the section "Example: Using an FDM-TDM Transmux to Demodulate R.35 Telegraphy Signals" and the section "The Impact of Digital Tuning on the Overall design of an FDM-TDM Transmux" shows excellent agreement. But while it is intended to be helpful, it must be used with care since relatively small differences in the application-dependent assumptions can influence the resulting choices quite considerably.
The decision flowchart presented in [link] assumes that the generalized demultiplexer has the block diagram shown in [link] . The system accepts digitized FDM signals, all sampled at Hz. These are made available to N t digital tuners. All of these tuners are of the same design, employ the same decimation factor M p and produce output samples at the same rate of f s Hz. The tuner outputs are transmultiplexed, sending their output channel samples to a bus, which up to N u user processes have access to. Since each transmux is fed by a tuner, there are N t transmuxes, each parameterized by , and M .
On the one hand, this architecture is not perfectly general, since parameters such as filter bandwidths are assumed to be identical, but it is representative of a very complex transmultiplexer-based system. On the other hand, it can be simplified considerably, by allowing or N t to be unity for instance, and still be reasonably described by the flowchart.
The flowchart is shown in [link] . While perhaps self-explanatory, some commentary is provided for the faint-hearted.
Of these two steps, the first is often the more difficult since the optimization may be based on non-mathematical considerations. An example of this is the case in which a large number of contiguous FDM channels need to be demultiplexed from an even larger input band. Should there be a few tuners of large bandwidth or more with narrower bandwidth? A purely mathematical optimization using an objective function such as the number of multiply-adds will conclude that the former is better, while a user might prefer the selectivity (for example, cherry picking ) afforded by a multitude of narrower tuners.
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