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Document Type: Prentice Hall
Author: Jeffrey H. Reed
Book: Software Radio: A Modern Approach to Radio Engineering
Copyright: 2002
ISBN: 0130811580
NI Supported: No
Publish Date: Dec 31, 2007


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Decimation

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Overview

National Instruments has partnered with Prentice Hall to bring you large portions of in-depth technical topics from several PTR RF and Communications books, including Digital Communications: Fundamentals and Applications, 2nd Edition. This series of content is designed for a broad range of audiences, from experts who want to review a specific topic to students who need easy-to-understand documentation for their projects.

For the complete list of RF topics, please visit the RF and Communications Resource Main Page.

3.2.1 Decimation

Decimation is the process by which high-frequency information is eliminated from a signal

to reduce the sampling frequency without resulting in aliasing. As shown in Chapter 5, a

sampled signal, seen in Figure 3.3, repeats its spectrum every  radians. If decimation

without filtering were performed, aliasing would occur, an example of which is seen in

Figure 3.4.

Figure 3.5 shows a block diagram of the decimation process. The operation is composed

of lowpass filtering followed by downsampling. The downsampler picks a subset of

the samples that are passed through the lowpass filter (LPF). The LPF used is designed to

avoid aliasing and has a cutoff of  the point that allows the non-aliased part of the signal

seen in Figure 3.4 to pass.

The end result of the decimation procedure is the content of the original signal below

but it is sampled at a lower rate. Figure 3.6 shows the expected spectrum of the decimated

signal.

To fully explore the process of signal decimation, an analysis of the algorithm is necessary.

Two processes are used in the decimation procedure: filtering and downsampling.

Equation 3.2 shows filtering performed with filter hD(n) on signal x(n) in the time domain.

Subsampling is the selection of every Dth sample, shown in Equation 3.3.


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Figure 3.3: Sampled Signal Spectrum.


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Figure 3.4: Aliased Signal Spectrum (D = 3).

 

Figure 3.5: Decimation Circuit Block Diagram.

 

Figure 3.6: Decimated Signal Magnitude Spectrum. (Note in this case  corresponds to

Fs,x/D in actual frequency.)

The combination of Equations 3.2 and 3.3 yields


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and model as v(n) sampled with impulse train p(n), where p(n) is defined in Equation 3.6

using the Fourier series for a sampling impulse of period D is shown in Equation

3.7.

 

Using Equations 3.3–3.7, the following relationship can be derived:

The discrete time Fourier transform (DTFT) of y(m) can be calculated as

represents the normalized sample rate with respect to signal y.


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then Equation 3.11 is simplified to

Decimation filters out the information in the original signal above  (with respect to the original sample rate). A lowpass

direct mapping is possible from ωy to ωx and vice versa; this relationship is best described as the spectrum spanned by  is also spanned by 

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