The sign algorithm has been extensively investigated for digital echo cancellation application and other adaptive filtering applications. In this paper, we use the blind averaging Sign-regressor (SR) algorithm for ada...The sign algorithm has been extensively investigated for digital echo cancellation application and other adaptive filtering applications. In this paper, we use the blind averaging Sign-regressor (SR) algorithm for adaptive multiuser detection. It is another least mean square (LMS) algorithm and eliminates the need for multiplication in the adaptive algorithm. The new algorithm not only reduces the calculation complexity but also has good convergence character. Simulations indicate that this algorithm can adapt to the changes of the environment quickly and improve the stability of the SIR.展开更多
As the basic work of image stitching and object recognition,image registration played an important part in the image processing field.Much previous work in registration accuracy and realtime performance progressed ver...As the basic work of image stitching and object recognition,image registration played an important part in the image processing field.Much previous work in registration accuracy and realtime performance progressed very slowly,especially in registrating images with line feature.An innovative method for image registration based on lines is proposed,it can effectively improve the accuracy and real-time performance of image registration.The line feature can deal with some registration problems where point feature does not work.Our registration process is divided into two parts.The first part determines the rough registration transformation relation between reference image and test image.Then the similarity degree among different transformation and modified nonmaximum suppression(MNMS)algorithms are obtained,which produce local optimal solution to optimize the rough registration transformation.The final optimal registration relation can be obtained from two registration parts according to the match scores.The experimental results show that the proposed method makes a more accurate registration relation and performs better in real-time situation.展开更多
文摘The sign algorithm has been extensively investigated for digital echo cancellation application and other adaptive filtering applications. In this paper, we use the blind averaging Sign-regressor (SR) algorithm for adaptive multiuser detection. It is another least mean square (LMS) algorithm and eliminates the need for multiplication in the adaptive algorithm. The new algorithm not only reduces the calculation complexity but also has good convergence character. Simulations indicate that this algorithm can adapt to the changes of the environment quickly and improve the stability of the SIR.
文摘As the basic work of image stitching and object recognition,image registration played an important part in the image processing field.Much previous work in registration accuracy and realtime performance progressed very slowly,especially in registrating images with line feature.An innovative method for image registration based on lines is proposed,it can effectively improve the accuracy and real-time performance of image registration.The line feature can deal with some registration problems where point feature does not work.Our registration process is divided into two parts.The first part determines the rough registration transformation relation between reference image and test image.Then the similarity degree among different transformation and modified nonmaximum suppression(MNMS)algorithms are obtained,which produce local optimal solution to optimize the rough registration transformation.The final optimal registration relation can be obtained from two registration parts according to the match scores.The experimental results show that the proposed method makes a more accurate registration relation and performs better in real-time situation.
