Line 117: | Line 117: | ||

---- | ---- | ||

---- | ---- | ||

− | ==[[Upsampling_Slecture_Molveraz_review| | + | ==[[Upsampling_Slecture_Molveraz_review|Questions and comments]]== |

Reviews can be posted on [[Upsampling_Slecture_Molveraz_review|this page]]. | Reviews can be posted on [[Upsampling_Slecture_Molveraz_review|this page]]. | ||

---- | ---- | ||

[[2014_Fall_ECE_438_Boutin|Back to ECE438, Fall 2014]] | [[2014_Fall_ECE_438_Boutin|Back to ECE438, Fall 2014]] |

## Revision as of 12:21, 13 October 2014

Frequency Domain View of Upsampling

A slecture by exchange student from UNAM, Mexico, Michel Olvera.

Partly based on the ECE438 Fall 2014 lecture material of Prof. Mireille Boutin.

## Contents

## OUTLINE

- Introduction
- Theory
- Examples
- Conclusion
- References

## 1. Introduction

Upsampling is the process of inserting zero-valued samples between the original samples of a signal to increase the sampling rate. One way to accomplish upsampling by an integer ratio of 1:D is to interpose D-1 zero samples between each pair of the input samples of the signal. This causes the spectrum of the original signal to repeat at multiples of the original sampling rate.

The process of upsampling doesn’t change the content of the input signal, and it only introduces the scaling of the time axis by a factor D. Consequently, the operation of upsampling is invertible, which means that it is possible to recover the input signal from samples of the output exactly.

In order to remove or at least attenuate the unwanted image spectra, a low pass filter must be placed immediately after upsampling. In the time domain, the effect is that the zero-valued samples introduced by the upsampler are filled with interpolated values.

## 2. Theory

$ \text{Let } m=n/D \Rightarrow n=mD $

$ \text{But } s_D(mD) \equiv 1 $

## Interpolator

To interpolate between the nonzero saples generated by upsampling, a low pass filter is used. So the combiation of an upsanpler followed by a low pass filter can be referred to as an interpolator.

## 3. Examples

Graphical Illustration. Upsampling of X[n] at D = 2.

## Practical Examples

There are many applications where the signal of a given sampling rate needs to be converted into an equivalent signal with a different sampling rate. The main reasons could be to increase efficiency or simply to match digital signals that have different rates.

## 4. Conclusion

Nowadays we can find a lot of applications where the signal of a given sampling rate needs to be converted into an equivalent signal with a different sampling rate. The main reasons could be to increase efficiency or simply to match digital signals that have different rates. By upsampling a signal

## 5. References

[1]. Jan Allebach, Chandrasekar Krithika, "Digital Signal Processing in a Nutshell", Volume I, Second Edition, 2012.

[2]. Mireille Boutin, "ECE438 Digital Signal Processing with Applications," Purdue University, September 24, 2014

[3]. Mehdi Khosrowpour, "Encyclopedia of Information Science and Technology" Volumes 1-5, 2005.

[4]. Charles A. Poynton, "Digital Video and HDTV: Algorithms and Interfaces", 2003.

[5]. John G. Proakis, Dimitris G. Manolakis, "Digital Signal Processing with Principles, Algorithms, and Applications" 4th Edition,2006

[6]. Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, "Signals and Systems" 2nd Edition,1996

[7]. Prof. J. Bilmes, "EE518 Digital Signal Processing, Lecture 9: Upsampling and Downsampling", University of Washington Dept. of Electrical Engineering, October 29, 2001.

## Questions and comments

Reviews can be posted on this page.