Analysis of multicomponent AM-FM signals using FB-DESA method

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• 作者：Ram Bilas Pachori ; Pradip Sircar
• 关键词：AM-FM signal ; DESA method ; Fourier– ; Bessel expansion ; Speech analysis
• 刊名：Digital Signal Processing
• 出版年：2010
• 出版时间：January 2010
• 年：2010
• 卷：20
• 期：1
• 页码：42-62
• 全文大小：5644 K

文摘

The discrete energy separation algorithm (DESA) together with the Gabor's filtering provides a standard approach to estimate the amplitude envelope (AE) and the instantaneous frequency (IF) functions of a multicomponent amplitude and frequency modulated (AM-FM) signal. The filtering operation introduces amplitude and phase modulations in the separated monocomponent signals, which may lead to an error in the final estimation of the modulation functions. In this paper, we have proposed a method called the Fourier–Bessel expansion-based discrete energy separation algorithm (FB-DESA) for component separation and estimation of the AE and IF functions of a multicomponent AM-FM signal. The FB-DESA method does not introduce any amplitude or phase modulation in the separated monocomponent signal leading to accurate estimations of the AE and IF functions. Simulation results with synthetic and natural signals are included to illustrate the effectiveness of the proposed method.