The Application Discussion of Third-Order Volterra System Identification for Separating Sub- and Ultraharmonics of Nonlinear Ultrasound Signal

The purpose of this paper is to discuss the third- order Volterra model kernels between linear-cubic and cubic for separating sub-and ultraharmonics (SUH) of nonlinear ultrasound signal. The performance of two filters by contrast- to-tissue ratio (CTR) is compared to discuss the use for creating images. Comparison of simulation results have shown that two methods are successful in separating SUH. Both filters can improve CTR values up to 189.95 dB compared with -0.28 dB original signal (B-mode imaging) before filtering.