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Presentation
On
Multirate Digital Signal Processing
Presented By
Md. Tanvir Amin
1
Multirate Digital Signal Processing
β€’ Systems that employ multiple sampling rates in the processing of
digital signals are called Multirate digital signal processing systems.
β€’ Multirate systems are sometimes used for sampling-rate
conversion
β€’ In most applications multirate systems are used to improve the
performance, or for increased computational efficiency.
2
Multirate Digital Signal Processing
Basic Sampling Rate Alteration Devices:
Up-sampler - Used to increase the sampling rate by an integer factor
Down-sampler - Used to decrease the sampling rate by an integer
factor
3
Up-Sampler
Time-Domain Characterization:
An up-sampler with an up-sampling factor L, where L is a positive
integer, develops an output sequence with a sampling rate that
is L times larger than that of the input sequence x[n]
Block-diagram representation
L
x[n] ]
[n
xu
]
[n
xu
4
Down-Sampler
Time-Domain Characterization:
An down-sampler with a down-sampling factor M, where M is a
positive integer, develops an output sequence y[n] with a sampling rate
that is (1/M)-th of that of the input sequence x[n]
Block-diagram representation
M
x[n] y[n]
5
Sampling Rate Reduction by Integer Factor D
H(n)
Downsampler
D
In decimation, the sampling rate is reduced from 𝐹π‘₯ to 𝐹π‘₯ /D
by discarding D– 1 samples for every D samples in the
original sequence
𝐻𝐷= {1,
0
π‘Š ≀ πœ‹/𝐷
π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’
Digital anti-aliasing
filter
Sampling-rate
compressor
6
Sampling Rate Reduction by Integer Factor D
β€’ Decimation by a factor of D, where D is a positive
integer, can be performed as a two-step process,
consisting of an anti-aliasing filtering followed by an
operation known as down sampling.
Y(𝑛)=𝑣𝑛𝐷
𝑣 𝑛
∞
= βˆ‘ β„Ž π‘˜ π‘₯(𝑛 βˆ’ π‘˜)
βˆ’βˆž
7
β„Ž π‘˜ π‘₯ (𝑛𝐷 βˆ’ π‘˜)
∞
π‘˜=0
=
Sampling Rate Reduction by Integer Factor D
β€’ Interpolation by a factor of L, where L is a positive integer,
can be realized as a two-step process of upsampling
followed by an anti-imaging filtering.
L LPF
8
Sampling Rate Increase by Integer Factor D
β€’ An upsampling operation to a discrete-time
signal x(n) produces an upsampled signal y(m)
according to
y π‘š = {
π‘₯
𝑛
𝐿
0,
, 𝑛 = 0, ±𝐿, Β±2𝐿, … ,
π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’
9
Sampling rate conversion by a rational factor β€œL/D’ can achieved by
first performing interpolation by the factor β€˜L’ and then decimation
the interpolator o/p by a factor β€˜D’. In this process both the
interpolation and decimator are cascaded as shown in the figure
below:
Upsampler
I
Filter
β„Žπ‘’(I)
Downsampler
D
Filter
β„Žπ‘‘(I)
Sampling Rate Conversion by Integer Rational Factor L/D
10
Applications of Multirate DSP
11
12
Applications of Multirate DSP
13
Applications of Multirate DSP
 The effect of oversampling also has some other desirable
features:
 Firstly, it causes the image frequencies to be much higher and
therefore easier to filter out.
 Secondly reducing the noise power spectral density, by spreading
the noise power over a larger bandwidth.
Thank You
14

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Multirate Digital Signal Processing Techniques

  • 1. Presentation On Multirate Digital Signal Processing Presented By Md. Tanvir Amin 1
  • 2. Multirate Digital Signal Processing β€’ Systems that employ multiple sampling rates in the processing of digital signals are called Multirate digital signal processing systems. β€’ Multirate systems are sometimes used for sampling-rate conversion β€’ In most applications multirate systems are used to improve the performance, or for increased computational efficiency. 2
  • 3. Multirate Digital Signal Processing Basic Sampling Rate Alteration Devices: Up-sampler - Used to increase the sampling rate by an integer factor Down-sampler - Used to decrease the sampling rate by an integer factor 3
  • 4. Up-Sampler Time-Domain Characterization: An up-sampler with an up-sampling factor L, where L is a positive integer, develops an output sequence with a sampling rate that is L times larger than that of the input sequence x[n] Block-diagram representation L x[n] ] [n xu ] [n xu 4
  • 5. Down-Sampler Time-Domain Characterization: An down-sampler with a down-sampling factor M, where M is a positive integer, develops an output sequence y[n] with a sampling rate that is (1/M)-th of that of the input sequence x[n] Block-diagram representation M x[n] y[n] 5
  • 6. Sampling Rate Reduction by Integer Factor D H(n) Downsampler D In decimation, the sampling rate is reduced from 𝐹π‘₯ to 𝐹π‘₯ /D by discarding D– 1 samples for every D samples in the original sequence 𝐻𝐷= {1, 0 π‘Š ≀ πœ‹/𝐷 π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ Digital anti-aliasing filter Sampling-rate compressor 6
  • 7. Sampling Rate Reduction by Integer Factor D β€’ Decimation by a factor of D, where D is a positive integer, can be performed as a two-step process, consisting of an anti-aliasing filtering followed by an operation known as down sampling. Y(𝑛)=𝑣𝑛𝐷 𝑣 𝑛 ∞ = βˆ‘ β„Ž π‘˜ π‘₯(𝑛 βˆ’ π‘˜) βˆ’βˆž 7 β„Ž π‘˜ π‘₯ (𝑛𝐷 βˆ’ π‘˜) ∞ π‘˜=0 =
  • 8. Sampling Rate Reduction by Integer Factor D β€’ Interpolation by a factor of L, where L is a positive integer, can be realized as a two-step process of upsampling followed by an anti-imaging filtering. L LPF 8
  • 9. Sampling Rate Increase by Integer Factor D β€’ An upsampling operation to a discrete-time signal x(n) produces an upsampled signal y(m) according to y π‘š = { π‘₯ 𝑛 𝐿 0, , 𝑛 = 0, ±𝐿, Β±2𝐿, … , π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ 9
  • 10. Sampling rate conversion by a rational factor β€œL/D’ can achieved by first performing interpolation by the factor β€˜L’ and then decimation the interpolator o/p by a factor β€˜D’. In this process both the interpolation and decimator are cascaded as shown in the figure below: Upsampler I Filter β„Žπ‘’(I) Downsampler D Filter β„Žπ‘‘(I) Sampling Rate Conversion by Integer Rational Factor L/D 10
  • 13. 13 Applications of Multirate DSP  The effect of oversampling also has some other desirable features:  Firstly, it causes the image frequencies to be much higher and therefore easier to filter out.  Secondly reducing the noise power spectral density, by spreading the noise power over a larger bandwidth.