A Framework for the Digital Hilbert Transformer with Cascade Realization
Kamelia Nikolova and Georgi Stoyanov
Digital Signal Processing and Artificial Intelligence for Automatic Learning, Vol. 2, No. 4, 2023.
DOI: https://doi.org/10.6025/dspaial/2023/2/4/93-101
Link: https://www.dline.info/dspai/fulltext/v2n4/dspaiv2n4_1.pdf
Abstract:
In this work, we proposed a framework for the digital Hilbert transformer that can limit 90-degree deviations. We studied the cascade realization of the divisions of the structure to include phase sensitivity minimization of all-pass sections. The design is tested for efficiency, providing acceptable experimental results.