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基础上，该文提出了基于蚂蚁算法的正交小波盲均衡算法。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，利用蚂蚁算法的分布式并行全局搜索能力，正向反馈，并行计算，生成信息素分布，利用蚂蚁算法求精确解，可以有效地避免算法收敛到局部最优解，降低CMA陷入局部收敛的可能性。是什么意思？

Abstract: According to the traditional constant modulus blind equalization algorithm (cma) convergence is slow, steady-state error and the local convergence shortcomings in the analysis on the basis of the orthogonal wavelet constant modulus blind equalization algorithm proposed in this paper based

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, based on the ant-based algorithm has been proposed

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 foundation, this article proposed based on the ant algorithm ortho

Summary: for a traditional constant modulus algorithm for blind equalization (CMA) Yamato local convergence convergence is slow, steady-state error of disadvantage, in a constant modulus blind equalization algorithm based on orthogonal Wavelet, the text put forward based on Ant algorithm for blind e

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