Application of Intrinsic Time-Scale Decomposition in analyzing sigma-delta modulator for audio DAC

The paper introduces a new approach for analyzing and processing non-stationary audio signals obtained from underlying nonlinear systems such as digital sigma-delta (ΣΔ) audio DACs. Their parameters and performance depend mainly on features of digital ΣΔ modulators. The Intrinsic Time-Scale Decomposition (ITD) method can self-adaptively decompose input signal into a monotonie trend (baseline signal) and a set of proper rotation components (PRCs) for which instantaneous parameters of signal are well defined. Finally, correlations between quantization noise and input signal (in particularly noise modulation) in digital ΣΔ modulators and possibility of the ITD method application for analyzing noise modulation is investigated.