Optimization of Hilbert Transformers for Digital signal Processors with SIMD-architecture

Digital signal processors (DSP) are used widely in many telecommunication systems to implement data processing and signal demodulation in wireline soft modems. DSP algorithms of signal demodulation at first stage contains spectrum shift unit to get complex-valued signal to be detected and transformed into bit-stream. To improve the performance of DSP demodulator the modified data structure and computational algorithm is presented. The application of DSP macroinstructions (intrinsics) is shown. In conclusion, the C-language code of modified Hilbert transformer is given.

Publication Details

Journal
Achievements of Modern Radioelectronics
Published
2025-01-01
DOI
https://doi.org/10.18127/j20700784-202501-09
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Optimization of Hilbert Transformers for Digital signal Processors with SIMD-architecture

Achievements of Modern Radioelectronics
Geochemistry and Geologic Mapping
article

Optimization of Hilbert Transformers for Digital signal Processors with SIMD-architecture

article en

Abstract

Digital signal processors (DSP) are used widely in many telecommunication systems to implement data processing and signal demodulation in wireline soft modems. DSP algorithms of signal demodulation at first stage contains spectrum shift unit to get complex-valued signal to be detected and transformed into bit-stream. To improve the performance of DSP demodulator the modified data structure and computational algorithm is presented. The application of DSP macroinstructions (intrinsics) is shown. In conclusion, the C-language code of modified Hilbert transformer is given.

Achievements of Modern Radioelectronics
Openalex Percentile: Top 70%
Geochemistry and Geologic Mapping
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Optimization of Hilbert Transformers for Digital signal Processors with SIMD-architecture · Achievements of Modern Radioelectronics (2025) | TGRS Research Map | TGRS