Adaptive Delta Modulation and Linear Delta Modulation with MATLAB Implementation

MATLAB implementation of both adaptive delta modulation (ADM) and linear delta modulation (LDM) algorithms, accompanied by comprehensive comparative analysis. The code includes detailed inline comments explaining algorithmic steps such as step-size adaptation mechanisms in ADM (using algorithms like continuously variable slope delta modulation) and fixed-step quantization in LDM. Programming documentation covers key functions including signal quantization, prediction error calculation, and reconstruction filters. Performance evaluation involves Signal-to-Noise Ratio (SNR) calculations, waveform fidelity assessments, and computational efficiency comparisons. Experimental validation tests both algorithms under various input signals (sinusoidal, speech, and random waveforms) to verify implementation accuracy and reliability. This enhanced approach provides thorough understanding of ADM's dynamic step-size advantages versus LDM's simplicity, serving as valuable reference for further research and practical applications in digital signal processing.