MATLAB Implementation of Signal Demodulation Based on Nonlinear Energy Operator
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In this article, we explore signal processing using the signal demodulation algorithm based on nonlinear energy operators. This algorithm serves as an effective method for separating noise components from original signals. We will provide a detailed implementation guide in MATLAB, including essential code segments and step-by-step procedures. The implementation typically involves calculating the nonlinear energy operator using discrete differentiation formulas (often employing diff() functions) and applying envelope detection techniques. We will also examine common application scenarios and evaluate the algorithm's performance in these contexts. Through this article, readers will gain comprehensive understanding of nonlinear energy operator-based signal demodulation and be able to implement it in their own projects, with particular attention to handling signal preprocessing, operator parameter selection, and result validation through spectral analysis.
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