Conference
Analysis of simulation functions and application scenarios in digital signal processing.
| Τίτλος: | Analysis of simulation functions and application scenarios in digital signal processing. |
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| Συγγραφείς: | Huang, Ziyang1 (AUTHOR) Ziyang927@outlook.com |
| Πηγή: | AIP Conference Proceedings. 2026, Vol. 3435 Issue 1, p1-7. 7p. |
| Θεματικοί όροι: | *Digital signal processing, *Computer simulation, *Optimization algorithms, *User interfaces, *Deep learning, *Fast Fourier transforms, *Parallel programming |
| Περίληψη: | Digital signal processing (DSP) technology plays an important role in the field of modern science and engineering, its core tasks include signal analysis, transformation and synthesis, and it is widely used in communication, audio processing, image recognition and other fields. The development of algorithms such as fast Fourier transform (FFT) has significantly improved the computational efficiency of DSP and further promoted its practical application. As a high-performance numerical computing software, simulation has become an important tool in the field of digital signal processing with its powerful data processing capability, rich toolbox and flexible programming environment. This paper systematically discusses the functions and application scenarios of simulation in digital signal processing with practical cases. The research shows that simulation, with its powerful functions and broad application prospects, will continue to play an important role in the field of digital signal processing, which is of great significance for improving the efficiency of signal processing and optimizing algorithm design. This paper looks forward to the future development of simulation in digital signal processing, including optimizing parallel computing capabilities, strengthening hardware integration, expanding the deep learning toolbox, and improving the user interface. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
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