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- For a given spectral support of the continuous-time analog signal,
the Nyquist Density is that density resulting from maximally
packed unaliased replication of the signal's spectrum.
1cm
Figure 1:
Sampling Density
|
Figure 2:
Sampling Density
|
and
- For circular spectral support, a hexagonal arrangement can
accommodate 13.4% more bandwidth. Hexagonal is 13.4% more efficient.
Spectral efficiency increases with dimension, see Table 2.1.
- Are there more efficient sampling grids for circularly bandlimited
signals? YES!
- These involve periodically deleted samples, e.g.
Figure 3.
Figure 3:
Example of periodically deleting samples for maximal
packing of circularly bandlimited signals.
The deleted samples are circled.
![\begin{figure}\epsffile{ex1.eps}\end{figure}](img21.gif) |
- Signals on these grids are too difficult to analyze and process
with a global view of the entire domain because
- DTFT is not defined.
- LTI systems are difficult to implement on this nonuniform grid.
However, periodic deletion of a sample in a block (frame) of samples
happens in an communications receiver (such as an ADSL receiver)
when the sampling device is sampling faster than the transmitter
sampling rate.
(The target sampling rate for both transmitter and receiver to use
is set by the communication standard.)
Similarly, when the sampling device in an communications receiver is
sampling slower than the sampling rate being used in the transmitter, the
sampling offset accumulates over the block of samples.
The accumulation may be great enough so that one fewer sample than
expected is in the frame over a fixed time interval.
In this case, a sample may have to be inserted at the end of block.
If the sampling device were a free-running crystal, then the deletion
or insertion of a sample in each block would be periodic.
This process of deleting or inserting a sample to align block boundaries
in the receiver with that of the transmitter is known as
symbol synchronization.
Signal analysis and processing would occur one frame at a time.
Next: About this document ...
Up: EE381K Multidimensional Digital Signal
Previous: 2-D Hexagonal Sampling
Brian L. Evans