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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/3294
Title: | Modeling of a reduce bit rate speech coding |
Authors: | Zainuddin Ab Rahman Hasliza A. Rahim (Advisor) |
Keywords: | Speech processing systems Data compression (Telecommunication). Coding theory Pulse-code modulation Speech synthesis |
Issue Date: | May-2007 |
Publisher: | Universiti Malaysia Perlis |
Abstract: | The purpose of this project is to develop a model that can be used as speech coding system with a reduced bit rate to optimize the quantization of channel bandwidth at a reduced cost. The performance of the developed system will be evaluated and compared with the existing, favored coding technique that is compounded Pulse Code Modulation (PCM) at the standard rate of 64 kbit/s as for the application in digital telephony. The Delta Modulation (DM) system is using one code digital signal and it brings output signal amplitude as a replace the original amplitude see through a Pulse Code Modulation (PCM). It’s has done integrated a output modulation and then compared with input signal to comparator. After that, one pulse code is transmitted and the polarities will be decrease signal differentiator to modulation. From the observation, Delta Modulation (DM) system are more easier than Pulse Code Modulation (PCM) system specifically transmitter and receiver hardware and otherwise the performance of Delta Modulation (DM) is almost the same like Pulse Code Modulation (PCM). |
Description: | Access is limited to UniMAP community. |
URI: | http://dspace.unimap.edu.my/123456789/3294 |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
References.pdf | 87.21 kB | Adobe PDF | View/Open | |
Conclusion.pdf | 89.34 kB | Adobe PDF | View/Open | |
Results and discussion.pdf | 596.74 kB | Adobe PDF | View/Open | |
Methodology.pdf | 114.71 kB | Adobe PDF | View/Open | |
Literature review.pdf | 7.17 MB | Adobe PDF | View/Open | |
Introduction.pdf | 102.35 kB | Adobe PDF | View/Open | |
Abstract, Acknowledgement.pdf | 32.94 kB | Adobe PDF | View/Open |
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