传统的弱信号恢复方法在强噪声背景下具有较大的局限性，有用的信息往往淹没在强噪声背景下不易被识别。针对这个难点，提出一种基于三维曲波变换的弱信号恢复的方法。该方法将三维曲波变换和自适应滤波器相融合，从而提高数据中弱信号的能量，使得弱信号更易于被恢复。为了验证该方法的有效性，对楔形模型与实际三维数据进行处理。实验结果表明，恢复后的数据信噪比提高了2 dB到3 dB，频带也被拓宽了150 Hz，弱信号得到较好的恢复。%Conventional methods of weak signal recovery are limited under strong noise condition. Useful information is often submerged in heavy noise, which is not easy to identify. As to this problem, a weak signal recovery method based on 3D-curvelet transform is proposed in this paper. Combining 3D-curvelet transform with the adaptive filter is to recover weak signal. Model of wedge and actual data are processed by this method. The experimental results show that the signal to noise ratio of data improves 2 dB to 3 dB and the frequency is increased 150 Hz. Obviously, the weak signal is recovered.
展开▼
