Digital-to-Analog and Analog-to-Digital Signal Conversion

This implementation involves writing MATLAB code to achieve both analog-to-digital conversion (ADC) and digital-to-analog conversion (DAC) of signals. During ADC processing, analog signals are converted into digital signals through key steps including sampling (using functions like sample or setting specific sampling rates), quantization (implementing precision levels for signal discretization), and encoding. For DAC processing, digital signals are reconstructed into analog signals using reconstruction filters and interpolation techniques (potentially employing functions like interp or resample). These conversion processes enable better signal understanding and processing, with applications spanning communication systems (signal modulation/demodulation), audio processing (digital audio recording/playback), and image processing (digital image acquisition/display). Code implementation typically involves simulating conversion parameters and signal characteristics to verify conversion accuracy and signal fidelity.