Analog-to-digital Converters (ADC) have an important impact on the overall performance of signal processing systems. Digital signal processing has become an integral part of various engineering applications, and the analog-to-digital conversion process plays a crucial role in this domain. This paper focuses on exploring the analog-to-digital conversion process using MATLAB Simulink, a powerful tool for simulating and analyzing dynamic systems. The analog-to-digital conversion process involves transforming continuous analog signals into discrete digital representations. MATLAB Simulink provides an efficient platform to model and simulate this process, allowing engineers and researchers to analyze system behavior, evaluate performance, and optimize parameters. The paper aims to serve as a comprehensive guide for professionals, researchers, and students interested in understanding and implementing the analog-to-digital conversion process using MATLAB Simulink.[1] Through theoretical insights and practical examples, it provides a valuable resource for those seeking proficiency in digital signal processing techniques.
| Mualliflar | Saparbayev, Raxmon |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2023-12-11 |
| Son | 4 |
| Betlar | 242-245 |
| Til | Rus |
MATLAB Simulink,, Analog to Digital Converter (ADC),, Sampler, Digital Signal Processing,, System Modeling, Simulation,, Signal Analysis., MATLAB Simulink, Analog to Digital Converter (ADC), Sampler, Digital Signal Processing, System Modeling, Simulation, Signal Analysis
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