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All Journal Jurnal Teknik Komputer AMIK BSI Paradigma Faktor Exacta InComTech: Jurnal Telekomunikasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) Barometer REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Akrab Juara : Jurnal Ilmu-ilmu Sosial INSANtek – Jurnal Inovasi dan Sains Teknik Elektro Paradigma
Andi Rosano
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Medicine & Pharmacology

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Journal : Paradigma

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Low Bit-Rate Parametric Coding Djadjat Sudaradjat; Andi Rosano
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.636 KB) | DOI: 10.31294/paradigma.v24i2.1391

Abstract

With a low bit rate will be obtained savings in the use of bandwidth transmission channels and memory. In coding the human voice signal, an artificial voice-producing model is made to obtain a low bit rate, which is known as the parametric coding method. With the parametric coding method, the human voice signal can produce a lower bit rate than the waveform coding method. For example, the waveform coding method will be limited by a minimum sampling frequency which according to the Shannon-Nyquist theorem states that so that no information is lost when sampling the signal, the sampling speed must be at least twice the bandwidth of the signal. Thus, the lowest bit rate waveform encoding that can be achieved is by the Delta Modulation system which is 8 Kbit/sec. While the signal parametric coding can achieve a lower bit rate of 2.4 Kbit/sec by the LPC (Linear Predictive Coding) system.
Adaptive Delta Modulation Simulation and Analysis Using MatLab Djadjat Sudaradjat; Andi Rosano
Paradigma Vol. 25 No. 2 (2023): September 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i2.2151

Abstract

The system for converting analog signals to digital signals has become a necessity, considering that the tools currently used are digital computers. One of the analog-to-digital conversion systems is the delta modulation system. In delta modulation, only one bit is used to encode each change in the input signal, where a rising signal is encoded into a one bit and a falling signal is encoded into a zero bit. This can save the bit rate which, when transmitted over the transmission channel, can save the transmission bandwidth, and when stored in computer storage media, can save storage space. However, if the slope of the signal rises and falls sharply, the delta modulation system cannot follow these signal changes, which is called slope overload. To overcome this problem, an adaptive delta modulation system was developed that has variable or adaptive pulse height for both one and zero bits. In this paper, a comparison between the delta modulation system and the adaptive delta modulation system using MatLab application will be simulated and analyzed. From the simulation results, it can be seen that the adaptive delta modulation system is able to overcome slope overload compared to the delta modulation system.
Co-Authors Adithya, Rendy Ananda Putra, Hafish Bambang Setiawan Djadjat Sudaradjat Feggy Agus Setiawan Iwan Krisnadi Kusumaningrum, Aliffah Mandasari, R Deasy Mugi Raharjo Nur Ali Farabi Nur Annisa Tri Wulandari Raden Deasy Mandasari Sudaradjat, Djadjat Vina Islami Wijaya, Ahmad Reynaldi Wulandari, Nur Annisa Tri Yunita Yunita