Title :
A novel approach for reconstruction of high frequency signal
Author :
Lu, Lihua ; Song, Zhihuan ; Wang, Haiqing
Author_Institution :
Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
This paper proposes a new method for reconstructing a signal from low-frequency sampling data based on wavelet multiresolution analysis. Firstly, the low sample-rate data with unknown noise is filtered in the time-frequency domain. Then the proposed algorithm is used to reconstruct the high frequency signal. A hierarchical approximating algorithm is adopted to reduce the reconstruction error, and its accuracy analysis is given. This algorithm has the advantages of noise-free, high reconstructing accuracy and explicit physical nature
Keywords :
approximation theory; filtering theory; noise; signal reconstruction; time-frequency analysis; wavelet transforms; HF signal reconstruction; accuracy analysis; hierarchical approximating algorithm; high frequency signal; high reconstructing accuracy; low sample-rate data filtering; low-frequency sampling data; noise-free reconstruction; reconstruction error reduction; signal noise; time-frequency domain filtering; wavelet multiresolution analysis; Discrete wavelet transforms; Frequency domain analysis; Industrial control; Low-frequency noise; Multiresolution analysis; Signal analysis; Signal sampling; Time frequency analysis; Wavelet analysis; Wavelet domain;
Conference_Titel :
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location :
Tianjin
Print_ISBN :
0-7803-6253-5
DOI :
10.1109/APCCAS.2000.913562
