This article explores the intricacies of improving time domain analysis in Vector Network Analyzers (VNAs) through the utilization of the Inverse Chirp-Z Transform. Initially, it discusses the limitations encountered when employing conventional methods such as the Inverse Discrete Fourier Transform in Python for time domain conversion, highlighting issues of resolution and accuracy.
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