Aiming at the problem that the high-speed sampling oscilloscope is easily interfered by the time-base jitter error, which leads to the decline of measurement accuracy, a time-base jitter correction method for oscilloscope is proposed by combining the orthogonal distance regression (ODR) algorithm and signal wavelet denoising. The ODR algorithm can deal with both independent variable and dependent variable errors, which is suitable for the complex nonlinear error estimation problem of time-base jitter, and can effectively remove noise and further improve signal accuracy by combining with wavelet transform for multi-scale signal decomposition. The simulation results show that the original signal contains time-base jitter and noise. After the time-base correction, the error is significantly reduced and the measurement accuracy is improved, which provides an important technical support for the high-precision measurement of sampling oscilloscope.