Advanced Methods and Algorithms for Frequency Correction of Digital Audio Signals and Phonograms
Keywords:
Kalit so‘zlar: Digital Audio Processing, Frequency Equalization, Adaptive Filtering, FFT, Spectral Compensation, Phonogram Restoration, Audio Enhancement, SNR OptimizationAbstract
The modern era of digital media production relies heavily on precise signal processing to preserve sound integrity and naturalness. Frequency correction of audio signals and phonograms is a key element in digital audio restoration, mastering, and speech enhancement. This paper presents an advanced adaptive method for spectral frequency correction using Fourier-based modeling and an intelligent weighting approach. The proposed algorithm detects and compensates for spectral deviations across multiple frequency bands while maintaining phase coherence and minimizing distortion. The developed model is evaluated through extensive simulations and real-world audio restoration tasks, achieving superior spectral balance and reduced harmonic distortion compared to classical equalization techniques.
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