求翻译：摘要：针对传统的常数模盲均衡算法(CMA)收敛速度慢、稳态误差大和局部收敛的缺点，在分析正交小波常数模盲均衡算法(WT．CMA)基础上，该文提出了基于蚂蚁算法和遗传优化的正交小波常模盲均衡算法(PSO．WT．CMA)，寻找最优的均衡器权值，并用正交小波变换降低信号的自相关性，通过蚂蚁算法将信息素的累积和更新收敛于最优路径上，具有分布式并行全局搜索能力，为弥补其初期信息素匮乏，求解速度慢，将遗传算法与蚂蚁算法融合，采用遗传算法全局随机搜索的特性，对均衡器权向量进行优化，以降低CMA陷入局部收敛的可能性，生成信息素分布，利用蚂蚁算法求精确解，优势互补。是什么意思？

正在翻译，请等待...

Summary: against the traditional mold of the constant blind equalization algorithm (CMA), slow convergence, steady-state error and local convergence analysis of the shortcomings, the orthogonal wavelet constant template blind equalization algorithm (WT CMA). The based on the ant-based algorithm and

Abstract: In view of tradition often digital-analog blind balanced algorithm (CMA) convergence rate slow, static error big and partial restraining shortcoming, in the analysis orthogonal wavelet constant mold blind balanced algorithm (WT.CMA) in the foundation, this article proposed optimizes orthog

Summary: for a traditional constant modulus algorithm for blind equalization (CMA) convergence is slow, steady-state error Daiwa disadvantages of local convergence, analysis of orthogonal Wavelet constant modulus algorithm for blind equalization (WT. CMA) on the basis of the proposed genetic optimiz

正在翻译，请等待...