-
reasons for
performing oversampling: to
improve anti-aliasing performance, to
increase resolution and to
reduce noise.
Oversampling can make it
easier to...
-
machine learning.
Oversampling and
undersampling are
opposite and
roughly equivalent techniques.
There are also more
complex oversampling techniques, including...
- "
Oversampling Interpolating DACs" (PDF).
Analog Devices.
Retrieved January 17, 2015.
Nauman Uppal (August 30, 2004). "Upsampling vs.
Oversampling for...
- can also be
enhanced with
oversampling at
signal reconstruction,
absent oversampling at the source.
Consider 16×
oversampling at reconstruction. Each sample...
- Delta-sigma (ΔΣ; or sigma-delta, ΣΔ)
modulation is an
oversampling method for
encoding signals into low bit
depth digital signals at a very high sample-frequency...
-
value (in
addition to the
effects of quantization).
Although the use of
oversampling can
completely eliminate aperture error and
aliasing by
shifting them...
- noise,
especially when
noise shaping is emplo**** in
addition to
oversampling.
Oversampling is
typically used in
audio frequency ADCs
where the
required sampling...
-
converter by Philips) is a
consumer electronics marketing term
describing an
oversampling digital-to-analog
converter (DAC) that uses a
digital noise shaping delta-sigma...
-
pixel oversampling is
highest when zoom is not used. It
gradually decreases until the
maximum zoom
level is reached,
where there is no
oversampling. At...
-
works in principle. In the following, A is the
unsorted data, k is the
oversampling factor,
discussed later, and p is the
number of splitters.
function sampleSort(A[1...
