Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab

  • Azeez Abdullah Azeez Barzinjy Department of Physics, College of Education, Salahaddin University-Erbil, Kurdistan Region - Iraq
  • Haidar Jalal Ismail Department of Physics, College of Education, Salahaddin University-Erbil, Zanko, Erbil, Iraq
  • Mudhaffer Mustafa Ameen Department of Physics, College of Education, Salahaddin University-Erbil, Zanko, Erbil, Iraq

Abstract

The received analog signal must be digitized before the digital signal processing can demodulate it. Sampling, quantization, and coding are the separate stages for the analog-to-digital adaptation procedure. The procedure of adapting an unceasing time-domain signal into a separate time-domain signal is called sampling. While, the procedure of adapting a separate-time, continuous-valued signal into a discrete-time, discrete-valued signal is known as quantization. Thus, quantization error is the mismatch between the unquantized sample and the quantized sample. The method of demonstrating the quantized samples in binary form is known as coding. This investigation utilized Matlab® program to recommend a proper scheme for a wireless-call button network of input signal, normalized frequency, and over-sampling ratio against signal-to-quantization noise ratio. Two vital characteristics of this wireless network design are cost-effective and low-power utilization. This investigation, through reducing the in-band quantization error, also studied how oversampling can enhance the accomplishment of an analog-to-digital adapter.


Index Terms: Analog-to-digital Adapter, Coding, Matlab, Quantization Error, Wireless Network

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Published
2017-04-12
How to Cite
BARZINJY, Azeez Abdullah Azeez; ISMAIL, Haidar Jalal; AMEEN, Mudhaffer Mustafa. Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab. UHD Journal of Science and Technology, [S.l.], v. 1, n. 1, p. 17-22, apr. 2017. ISSN 2521-4217. Available at: <https://journals.uhd.edu.iq/index.php/uhdjst/article/view/4>. Date accessed: 16 june 2021. doi: https://doi.org/10.21928/uhdjst.v1n1y2017.pp17-22.
Section
Articles

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