Analisis source coding AMR pada GSM = Source coding AMR analysis of GSM

Vinysi, Laurel (2013) Analisis source coding AMR pada GSM = Source coding AMR analysis of GSM. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

On voice communications, one of the factors to determine whether a technology is good is the sound quality. As we know that the sound quality which is produced is strongly influenced by the channel condition. A good channel conditions produces a small error. In other word, a bad channel condition produces a large error. Therefore, technologies are always trying to reduce the errors, such as is done by the GSM. The way which is used by GSM to reduce error is Adaptive Multi Rate (AMR). On the Source Coding, bitrate is set in accordance with the channel conditions. a low bitrate is used on the bad channel conditions and on the contrary, a high bitrate is used on the good channel conditions because basically the error correction which can be loaded will be bigger if the encoded bitrate is lower. GSM operates on two different channel modes: Full-Rate and Half-Rate. There are several codec mode used in GSM–AMR codec from 4.75 kbps to 12.2 kbps. This research analyzes the performance of the error probability of those codec modes using MATLAB Software to simulate several parameters variations. First, the performance of the error probability is analyzed by changing the value of M (the number of linear prediction coefficient) and the value of c (constant control weighting spectrum) in one bitrate ie. 7.95 kbps. In addition, the performance of the error probability is analyzed by changing the bitrate which is used by AMR of GSM. The simulation results showed the greater of the value of c, the smaller the value of the error probability. Meanwhile in the forming of the prediction signal, the performance of the codec mode with a higher bitrate is better than the codec mode with a lower bitrate. Depend on the value of M, increasing bitrate from 4.75 kbps to 7.95 kbps result in the decreasing of the error probability from 6.6 % - 7.1 %. Similarly, increasing the value of c from 0.7 to 0.9 result in the decreasing of the error probability from 1.1% - 2%./Pada komunikasi suara, salah satu cara menentukan sebuah teknologi dikatakan baik, yaitu kualitas suaranya. Sebagaimana diketahui bahwa kualitas suara yang dihasilkan sangat dipengaruhi oleh kondisi channel. Kondisi channel yang baik menghasilkan error yang kecil. Dengan kata lain kondisi channel yang buruk menghasilkan error yang besar. Oleh karena itu, teknologi selalu berusaha mereduksi error tersebut, seperti halnya yang dilakukan GSM. Adapun cara GSM mereduksi error tersebut adalah dengan Adaptive Multi Rate (AMR). Pada Source Coding ini, bitrate diatur sesuai dengan kondisi channelnya. Bitrate yang rendah dipakai pada kondisi channel yang buruk, sedangkan bitrate yang tinggi dipakai pada kondisi channel yang baik karena pada dasarnya error correction yang dapat dimuat di dalam channel coding lebih besar jika bitrate yang dipakai lebih rendah. GSM beroperasi pada dua mode channel yang berbeda : Full-Rate dan Half-Rate. Ada beberapa macam codec mode yang digunakan oleh AMR pada GSM mulai dari 4.75 kbps ke 12.2 kbps. Penelitian ini menganalisis perfoma probability of error pada codec mode tersebut menggunakan Software MATLAB untuk mensimulasi variasi beberapa parameter. Pertama-tama, yang dianalisis adalah perfoma probability of error dengan mengubah nilai M (jumlah koefisien linear prediction) dan nilai c (konstanta pengendali spectrum weighting) pada nilai bitrate tertentu yaitu 7.95 kbps. Selain itu, juga dianalisis perfoma probability of error dengan mengubah bitrate yang digunakan oleh AMR pada GSM. Hasil simulasi menunjukkan makin besar nilai bobot c, maka probability of error cenderung makin kecil. Sementara itu dalam pembentukan sinyal prediksi, codec mode dengan bitrate yang lebih tinggi, perfomanya lebih baik dibandingkan dengan codec mode yang lebih rendah bitrate-nya. Bergantung pada nilai M, menaikkan bitrate dari 4.75 kbps ke 7.95 kbps menghasilkan penurunan probabilitas of error dari 6.6 % - 7.1 %. Hal yang sama, menaikkan nilai c dari 0.7 ke 0.9 menghasilkan penurunan probabilitas of error dari 1.1 % - 2 %.

Item Type: Thesis (Bachelor)
Creators:
CreatorsNIMEmail
Vinysi, LaurelNIM03220090006UNSPECIFIED
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorKanalebe, Herman YacobNIDN8887640017UNSPECIFIED
Thesis advisorRhizma, Mario Gracio AnduintaNIDN0323068601UNSPECIFIED
Additional Information: SK 32-09 VIN a
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: University Subject > Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Electrical Engineering
Current > Faculty/School - UPH Karawaci > Faculty of Science and Technology > Electrical Engineering
Depositing User: Users 6 not found.
Date Deposited: 26 Jun 2018 02:49
Last Modified: 13 Dec 2021 07:17
URI: http://repository.uph.edu/id/eprint/376

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