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The nonlinear shear modulus was found to exhibit higher contrast than shear modulus for the detection of breast lesions (Bernal, Chamming's et al. 2016) and may thus serve as a potential diagnostic index of tissue pathology. Such nonlinear elastic constant of soft tissues has been demonstrated to be effectively estimated by combining ultrasound elastography and supersonic shear imaging based on acoustoelastic...
In this paper, a least squares based on two-step update identification algorithm is established for the Wiener system by introducing a relaxation factor, which controls the relative importance of the two estimation parts. In addition, the convergence performance of the proposed LS-TSU algorithm is then analyzed. It is shown by a numerical example that if the weighting factor is appropriately chosen,...
An effective pressure estimation algorithm of ABS for motorcycles was proposed in this paper to get the relatively accurate wheel cylinder pressure. Firstly, the performance characteristics of hydraulic control unit was studied and the vehicle model was established by using BikeSim. Next, the pressure estimation algorithms of master cylinder and wheel cylinder were studied. The estimated pressure...
Compressed sensing (CS) can give a sparse representation of compressible signals. We consider the problem of blind signal recovery based on CS and propose a novel algorithm for sparse signal reconstruction with low complexity. From the CS sampled measurements, we first get the signal parameters' estimation, such as the carrier frequency, and reconstruct the narrow band signal using the estimated result...
The Doppler frequency shift can make a mismatch in frequency band between the linear frequency modulation (LFM) signal and its matched filter. The amplitude and delay of the output pulse are based on the degree of the mismatch. An algorithm of Doppler frequency estimation is proposed basing on the amplitude of the output pulse. The algorithm sets a group of matched filters whose middle frequencies...
There are many factors that affect shipbuilding market demand. The paper analysis the internal and external environment of shipbuilding market first. Then, it ranks the influence degree by using the grey relevant method. And it builds influence models with ridge regression method, so as to describe the trends of the shipbuilding market demand.
Being capable of sensing human through obstacles, bio-radar is promising in many applications like healthcare, public securities, emergency rescue and so on. In these applications, the presence of human and the human count are among the most important issues that are concerned by people. At present plenty of studies deal with the former issue but there's no study dealing with the latter one. To this...
Conventional channel estimation algorithms devised for OFDM systems suffer from significant performance degradation in the presence of interference. This paper develops a robust least square (LS) channel estimation scheme with low complexity. The received pilot symbols are first separated into several groups, then each group is divided into two parts. After that, we apply the conventional LS algorithm...
This paper presents a new adaptive fuzzy approach for background estimation in video sequences of complex scene from the function estimation point of view. A Takagi-Sugeno-Kang (TSK) type fuzzy system is used as the function estimator in the study. The proposed approach uses a hybrid learning method combining both the particle swarm optimization (PSO) and the Kernel Least Mean Square (KLMS) to train...
This paper presents a novel method to estimate multiple illuminant directions from a single image in augmented reality system. A square marker is used for 2D-3D registration, and a mirror sphere with known size is employed to detect light sources. Highlight pixels in captured sphere image are analyzed by using c-means clustering algorithm and its initialization with max-min distance method. The initialization...
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