Short time Fourier Transform (STFT) of Doppler spectrum analysis has provide a effective lossless detecting means for blood velocity measurement and diagnosis of artery strait disease in the past.There must be analysis error using the transform for long interval unsteady blood fluid signals.Due to variable flexible spatio-temporal windows

wavelet has much more predominance when analyzing Doppler blood signals.An innovative auto-wavelet correlation analysis (AWCA) method is put forward here

which can be used in analysis of Doppler blood signals.It is given the simulative experimental signals and the analysis results

compared AWCA with STFT at last.The results indicate that AWCA method not only adapts to analyze unsteady Doppler blood signals

it can also provide better resolution properties of position and frequency.