Modulated Signal Denoising Algorithm Based on Improved K-SVD

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Shi, Runze^1 ; Li, Bing^1 ; Zhang, Junning^1

Army Engineering University of PLA, Shijiazhuang, China^1

关键词: Calculation speed;    De-noising algorithm;    K-means;    Modulated signal;    Noise reduction effect;    Test signal;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032064/pdf
DOI  :  10.1088/1757-899X/452/3/032064

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The noise pollution of the Modulated signal is serious, which limits the noise reduction capability of the K-means Singular Value Decomposition (K-SVD) dictionary algorithm. Based on this, this paper introduces the segmentation description strategy based on the original K-SVD bit, and performs the sparse processing of the multi-layer positions on the modulated signal, which basically achieves the best noise reduction effect and can effectively retain. Important information characteristics of the test signal. The test results show that the algorithm not only has better noise reduction effect, but also has faster calculation speed.