Doppler Spectrogram Calculation Using CFFT Algorithm in a Digital Signal Processor Based System

摘要

Most of the clinical indices of blood flow are estimated from the spectrograms of Doppler ultrasound (DUS) signals. Any noise may degrade the readability of the spectrogram and the precision of the clinical indices, so the spectral augmentation plays an important role in the calculation of DUS spectrum. The proposed design employed complex fast Fourier transform (CFFT), in a digital signal processor (DSP) (TMS320C6711 DSK) based biomedical signal processing system, which results in reduction of computational time as well as processing time, since conventional methods involve FFT and Hilbert transform techniques. Also, this system has been designed as open research platform, which can be programmable with a variety of novel algorithms like Gabor and wavelet techniques for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.