ACO-OFDM Analog-to-Digital Conversion

In electronic engineering, analog-to-digital conversion is critically important. Through analog-to-digital converters (ADCs), we can transform analog signals into digital format, enabling signal processing using digital signal processors (DSPs). This conversion process typically involves sampling, quantization, and encoding stages, where key parameters like sampling rate and resolution must be carefully selected based on the application requirements. This conversion technology finds widespread applications across various domains such as audio signal processing, image processing, and machine learning systems. In code implementation, developers often use ADC peripherals in microcontrollers or dedicated ADC chips, configuring parameters through register settings or API calls. To achieve optimal conversion results, appropriate converter selection and preprocessing operations are essential. Preprocessing typically includes filtering operations (using low-pass filters to prevent aliasing) and signal amplification (using operational amplifiers to match ADC input ranges). Digital implementation often involves finite impulse response (FIR) or infinite impulse response (IIR) filters programmed in DSPs or FPGAs. Therefore, understanding both the theoretical principles and practical implementation techniques of analog-to-digital conversion is fundamental for electronic engineers and embedded systems developers working with signal processing applications.