APPLICATIONS OF DSP
1. What
is the need for multirate signal processing?
In real
time data communication we may require more than one sampling rate for processing
data in such a cases we go for multi-rate signal processing which increase
and/or decrease the sampling rate.
2. Give
some examples of multirate digital systems.
Decimator
and interpolator
3. Write
the input output relationship for a decimator.
Fy = Fx/D
4. Write
the input output relationship for an interpolator.
Fy = IFx
5. What
is meant by aliasing?
The
original shape of the signal is lost due to under sampling. This is called
aliasing.
6. How
can aliasing be avoided?
Placing a
LPF before down sampling.
7. How
can sampling rate be converted by a factor I/D.
Cascade
connection of interpolator and decimator.
8. What
is meant by sub-band coding?
It is an
efficient coding technique by allocating lesser bits for high frequency signals
and more bits for low frequency signals.
9. What
is meant by up sampling?
Increasing
the sampling rate.
10. What
is meant by down sampling?
Decreasing
the sampling rate.
11. What
is meant by decimator?
Down
sampling and a anti-aliasing filter.
12. What
is meant by interpolator?
An
anti-imaging filters and Up sampling.
13. What
is meant by sampling rate conversion?
Changing
one sampling rate to other sampling rate is called sampling rate conversion.
14. What
are the sections of QMF.
Analysis
section and synthesis section.
15.
Define mean.
Mxn=E[xn]=intg
xpxn(x,n) dx
16.
Define variance.
Zxn2=E[{xn=mxn}2]
17.
Define cross correlation of random process.
R xy
(n.m)= intxy*pxn,ym(x,n,y,m)dxdy.
18.
Define DTFT of cross correlation
Txy(e jw)
= x rxy(l) e jwl
19. What
is the cutoff frequency of Decimator?
Pi/M
where M is the down sampling factor
20. What
is the cutoff frequency of Interpolator?
Pi/L
where L is the UP sampling factor.
21. What
is the difference in efficient transversal structure?
Number of
delayed multiplications are reduced.
22. What
is the shape of the white noise spectrum?
Flat
frequency spectrum.
Glossary:
Sampling Rate:
The No.
of samples per cycle given in the signal is termed as sampling rate of the
signal .The samples occur at T equal intervals of Time.
Sampling Theorem:
Sampling
Theorem states that the no. of samples per cycle should be greater than or
equal to twice that of the frequency of the input message signal.
Sampling Rate Conversion:
The
Sampling rate of the signal may be increased or decreased as per the
requirement and application. This is termed as sampling rate Conversion.
Decimation:
The
Decrease in the Sampling Rate are termed as decimation or Downsampling. The No.
of Samples per Cycle is reduced to M-1 no. of terms.
Interpolation:
The
Increase in the Sampling rate is termed as Interpolation or Up sampling. The
No. of Samples per Cycle is increased to L-1 No. of terms.
Polyphase Implementation:
If the
Length of the FIR Filter is reduced into a set of smaller filters of length k.
Usual upsampling process Inserts I-1 zeros between successive Values of x(n).
If M Number of Inputs are there, Then only K Number of Outputs are non-zero.
These k Values are going to be stored in the FIR Filter.
Narrow band Filters:
If we
want to design a narrow passband and a narrow transition band, then a lowpass
linear phase FIR filters are more efficiently implemented in a Multistage
Decimator – Interpolator.
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