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In order to improve the equalization performance of high-order quadrature amplitude modulation ( QAM ) signals, an orthogonal wavelet transform dynamic weighted multi-modulus blind equalization algorithm based on the dynamic particle swarm optimization (DPSO-WTDWMMA) is proposed. In the proposed algorithm, dynamic particle swarm optimization algorithm and orthogonal wavelet transform are applied to dynamic weighted multi-modulus blind equalization algorithm (DWMMA). Accordingly, the equalizer weight vector can be optimized by DPSO algorithm, the autocorrelation of the input signals can be reduced using orthogonal wavelet transform, and DWMMA is used to choose appropriate error models to match QAM signals. The theoretical analyses and computational simulations of underwater acoustic channels indicate that the proposed algorithm can be used to obtain the highest convergence rate and the smallest steady mean square error in the equalization of high-order QAM signals. [ABSTRACT FROM AUTHOR]

Objective: To compare the clinical effects of uterine fibroids treated with transvaginal and laparoscopic hysteromyoma. Methods:80 patients with uterine fibroids from February 2009 to February 2011 were treated, according to the random number table they were divided into transvaginal groups (40 cases) and laparoscopic group (40 cases). Two group of patients for surgical trauma, postoperative pain and postoperative morbidity rates were compared. Results: The operative time, blood loss, postoperative anal exhaust time, postoperative pain and postoperative morbidity rate of vaginal hysterectomy excision are better than laparoscopic myomectomy, the differences are statistical significant (P<0.05). Conclusions: On selecting the appropriate indications, vaginal hysterectomy excision and laparoscopic myomectomy are both safe and effective minimally invasive surgical clinic. But vaginal hysterectomy surgery is much better with the advantages of less trauma, lighter pain and postoperative pain surface without scars, etc. [ABSTRACT FROM AUTHOR]

In order to solve the problems of background interference in the Mean-Shift tracking algorithm, this paper proposed an improved algorithm based on color and texture blending characteristics and background weighted update approach. The original RGB image was converted into the HSV color space, then color feature was extracted in the H, S channel and texture feature was extracted based on the LBP descriptor in the V channel. Base on this, this paper established the color-texture histogram of the object region and background. During object tracking, it updated the background region using weighted update approach according to the Bhattacharyya coefficient. The extensive experimental results show that, compared with the algorithm adopting the full background update approach with color or color-texture features, the improved algorithm makes full use of color and texture features and adopts weighted updated background region, and has a higher level of reliability and robustness and better execution efficiency. [ABSTRACT FROM AUTHOR]