Multi-rate signal processing techniques for efficient filter bank

In the information age, how to store, transmit and process digital signals effectively is a hot issue. As an important branch of digital signal processing, multi-rate signal processing provides us with a flexible and practical signal processing solution. Because of this, multi-rate filter banks are...

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Main Author: Zhang, Xinhang
Other Authors: Bi Guoan
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/74510
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-745102023-07-07T16:08:18Z Multi-rate signal processing techniques for efficient filter bank Zhang, Xinhang Bi Guoan School of Electrical and Electronic Engineering DRNTU::Engineering In the information age, how to store, transmit and process digital signals effectively is a hot issue. As an important branch of digital signal processing, multi-rate signal processing provides us with a flexible and practical signal processing solution. Because of this, multi-rate filter banks are widely used in many fields, such as image coding, speech, audio and communications. There have been a lot of studies of designing multi-rate filter banks. However, many methods using mathematical formula derivation are complicated and difficult to understand. In this report, a method of deriving the basic structure of non-maximum decimated filter banks by using simple signal graphic transformation is studied. This method avoids the use of mathematical derivation and derives a generalised structure of FFT based non-maximally decimation filter bank with low computational complexity, which provides a new idea for designing generalized non-maximally decimation filter banks. The correctness of this method is verified. In this report, two groups of equivalent operations used in the above method are simulated and analyzed to verify their equivalence. A structure of maximally decimated filter bank is derived by using the above method, and the simulation analysis is also carried out. Bachelor of Engineering 2018-05-21T03:18:11Z 2018-05-21T03:18:11Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74510 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Zhang, Xinhang
Multi-rate signal processing techniques for efficient filter bank
description In the information age, how to store, transmit and process digital signals effectively is a hot issue. As an important branch of digital signal processing, multi-rate signal processing provides us with a flexible and practical signal processing solution. Because of this, multi-rate filter banks are widely used in many fields, such as image coding, speech, audio and communications. There have been a lot of studies of designing multi-rate filter banks. However, many methods using mathematical formula derivation are complicated and difficult to understand. In this report, a method of deriving the basic structure of non-maximum decimated filter banks by using simple signal graphic transformation is studied. This method avoids the use of mathematical derivation and derives a generalised structure of FFT based non-maximally decimation filter bank with low computational complexity, which provides a new idea for designing generalized non-maximally decimation filter banks. The correctness of this method is verified. In this report, two groups of equivalent operations used in the above method are simulated and analyzed to verify their equivalence. A structure of maximally decimated filter bank is derived by using the above method, and the simulation analysis is also carried out.
author2 Bi Guoan
author_facet Bi Guoan
Zhang, Xinhang
format Final Year Project
author Zhang, Xinhang
author_sort Zhang, Xinhang
title Multi-rate signal processing techniques for efficient filter bank
title_short Multi-rate signal processing techniques for efficient filter bank
title_full Multi-rate signal processing techniques for efficient filter bank
title_fullStr Multi-rate signal processing techniques for efficient filter bank
title_full_unstemmed Multi-rate signal processing techniques for efficient filter bank
title_sort multi-rate signal processing techniques for efficient filter bank
publishDate 2018
url http://hdl.handle.net/10356/74510
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