为分析基于Parzen窗方法概率密度函数ä均衡算法（PPDF）的稳态性能，采用数值求解法，分别输入4种调制信号，研究PPDF算法在不同核参数下补偿因子的取值。此外，利用分离假设原理分别得出PPDF算法在实值和复值数据条件下稳态均方误差（MSE）的封闭解析表达式。仿真结果表明，在无噪环境中，PPDF算法实值和复值的稳态MSE的理论值与仿真值较为吻合，验证了理论分析的准确性。

In order to a nalyze t he steady -state perf ormance of the P arz en probabil ity dens ity functi on ( PPDF) algorithm based o n th e Pa rze n win dow metho d, the numeri cal solu tion method wa s use d to input fou r ki nds of modulati on sig nal s re-specti vely, and the va lue of th e comp ensation fa ctor of the PPD F a lgorithm u nder differe nt kernel p arameters w as stud-ied. In ad dition , the closed analyti cal ex pressio ns of the steady -sta te mean sq uar e error (MS E) o f the PPDF algo rithm unde r the con diti ons of real -valued an d complex- valued data wer e obtained by usi ng the sep arat ion hypoth esis pri nc iple. The simulation results show that the theoretical values of real and com plex  stea dy MSE of  PPDF  alg orit hm are in  good agreement with the simulation values in 
the noiseless environment, which verifies the accuracy of the theoretical analysis.