提出一种综合利用离散小波变换和连续小波变换来估计CPFSK信号符号速率的新算法。对离散小波变换后的细节信号进行连续小波变换,能够有效地减小噪声的影响,从而实现低信噪比下的符号速率估计。实验结果表明,与单纯使用连续小波变换的方法相比,新算法在低信噪比时具有较好的估计性能。 A new algorithm for estimating the symbol rate of CPFSK signals by using discrete wavelet transform and continuous wavelet transform is proposed. The discrete wavelet transform of the detail signal for continuous wavelet transform, can effectively reduce the impact of noise, in order to achieve low signal-to-noise ratio symbol rate estimation. The experimental results show that the new algorithm has better estimation performance at low signal-to-noise ratio than the method using only continuous wavelet transform.