中文摘要：

提出了一种结合小波变换的结构风险最小化空时均衡器（WSRM—STE），WSRM—STE采用小波变换技术可提高收敛速度．该方法在多维小波基上张成的空间中，综合利用通信信号中的学习信息和滤波器自身的结构信息，可自适应调整最佳小波系数和容量控制作用．通过仿真实验，并与结构风险最小化空时均衡器（SRM-STE）和结合小波变换的支持向量机空时均衡器（WSVM-STE）比较，得出结论：WSRM-STE收敛速度快，跟踪性能好，在复杂环境下的无线移动通信中具有一定的应用前景．

英文摘要：

A new space-time equalizer with wavelet transformation based on structure risk minimum criterion （WSRM-STE） is present to improve convergence speed by a wavelet transformation. In some dimensions wavelet signal space, it not only takes advantage of learning information in communication signals, but also appropriately exploits structure information of filters. It adaptively adjusts wavelet coefficients and capacity control coefficients. Simulation is carried ont. It shows that, compared with a space-time equalizer based on structure risk minimum criterion, and a typic space-time equalizer with wavelet transformation based on support vector machine, the WSRM-STE is with better track performance and rapid convergence speed. So, it can be applied to wireless mobile communications.