Noisy signal compression based on optimal search in wavelet bintree
2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628) - Tập 2 - Trang 513-516 vol.2
Tóm tắt
This paper presents a wavelet based simultaneous de-noising and compression scheme for noisy signals. The orthogonal wavelet transform (OWT), used in the traditional signal coding and denoising, is translation variant, which hinders its performance in the signal processing. It is also interesting if an optimal waveform can be selected from a family of wavelet bases to best transform a set of functions for efficient compression. In this paper the wavelet bintree decomposition (WBD), a translation invariant transform, is proposed and an optimal family of wavelet bases is selected. The bases better de-correlate the input signal than the OWT and represent the signal compactly. Wavelet thresholding is then applied on wavelet coefficients for denoising. Thresholding is similar to the quantizing of a zero-zone in a lossy encoding procedure. In this paper a signal adaptive nearly optimal threshold is computed for denoising and the wavelet coefficients after the thresholding are quantized for compression. Experiments show that the presented encoding scheme outperforms the OWT-based method.
Từ khóa
#Noise reduction #Wavelet transforms #Wavelet coefficients #Signal processing #Encoding #Filters #White noise #Libraries #Decorrelation #Data compressionTài liệu tham khảo
10.1109/83.862633
10.1109/78.806084
vetterli, 2001, Wavelets, approximation, and compression, IEEE Signal Processing Magazine, 18, 59, 10.1109/79.952805
10.1109/10.568915
10.1109/18.720541
satio, 1994, Simultaneous noise suppression and signal compression using a library of orthonormal bases and the minimum description length criterion, SPIE, 2242, 224
10.1109/83.661182
10.1109/78.258085
10.2307/2337118
10.1117/1.1357192
10.1109/78.157221