Design and Implementation of Delta-Sigma Modulator using Simulink

Delta sigma modulation (DSM) is a prominent technique in both analog-to-digital conversion (ADC) and digital-to-analog conversion (DAC), known for its ability to achieve high resolution and dynamic range while maintaining low power consumption. This paper introduces a novel implementation of delta sigma ADC and DAC converters aimed at enhancing high-resolution analog signal processing applications. Leveraging advanced delta sigma modulation techniques, the design and implementation of the converters are outlined, emphasizing oversampling, noise shaping, and decimation strategies to achieve superior performance. The ADC stage employs delta sigma modulation to encode analog signals into high-resolution digital format while mitigating quantization noise through noise shaping techniques. Following the ADC stage, the paper explores the reconstruction process in the DAC stage, focusing on inverse delta sigma modulation techniques to faithfully reconstruct the analog signal from digital data. Design considerations such as digital filter design, quantization error compensation, and signal-to-noise ratio optimization are addressed to ensure accurate signal reconstruction. Results highlight significant improvements in signal fidelity and noise reduction compared to conventional ADC-DAC systems. This work represents significant advancements in high-resolution analog signal processing systems, promising enhanced performance and reliability in various real-world applications including telecommunications, audio processing, and sensor interfaces.