Observational analysis assesses bit depth effects on interference suppression in signal processing, indicating potential improvements in computational accuracy.
The article examines the impact of digital system bit depth on the efficiency of interference suppression in signal processing tasks. An analysis of quantization processes, quantization noise generation, and its effect on filtering quality and interference suppression is provided. Mathematical models for estimating the signal-to-noise ratio are described, along with the influence of different bit depths on computational accuracy and the preservation of useful information.
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Quang-Diep Bui (2025) studied this question.
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