基于Matlab的功率谱估计方法

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI:10.1145/3387168.3387223

Xiaobo Jin, Yuwen Wang, Wenjun Hong

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引用次数: 3

摘要

功率谱估计是数字信号处理的重要研究内容之一。功率谱估计分为经典功率谱估计和现代功率谱估计。针对经典功率谱估计的不足，提出了现代功率谱估计。对经典功率谱估计中的周期图法、改进welch法和AR模型法的原理进行了Matlab仿真，并对其特性进行了分析和比较。结果表明，AR参数模型的Burg方法效果较好。经典功率谱估计方差大，光谱分辨率低，而现代功率谱估计不受窗函数的影响，具有更高的光谱分辨率和平滑的光谱曲线。

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Power Spectrum Estimation Method Based on Matlab

Power spectrum estimation is one of the important research contents of digital signal processing. Power spectrum estimation is divided into classic power spectrum estimation and modern power spectrum estimation. Modern power spectrum estimation is proposed for the shortcomings of classical power spectrum estimation. The principles of the periodogram method, the improved welch method and the AR model method in the classic power spectrum estimation, Matlab simulations were carried out, and their characteristics were analyzed and compared. It was found that the Burg method of the AR parameter model is better. The classic power spectrum estimation has large variance and low spectral resolution, but modern power spectrum estimation is not affected by the window function, so it has higher spectral resolution and smooth spectral curve.

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Proceedings of the 3rd International Conference on Vision, Image and Signal Processing

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