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Volterra
- 基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction
matlab_wiener
- matlab编程，数字信号实验维纳滤波，估计AR模型参数，具有良好的滤波效果。 -Matlab programming, digital signal experimental Wiener filter, it is estimated that the AR model parameters, has good filtering effect.
RLS_LMS
- 数字预失真系统，功放是Wiener-Hammerstein模型，预失真是记忆多项式模型，自适应算法采用RLS-LMS混合算法不。-Digital pre-distortion system, power amplifier is a Wiener-Hammerstein model, pre-distortion is memory polynomial model, using RLS-LMS adaptive algorithm h
Hammerstein_Wiener
- Hammerstein_Wiener模型最小二乘向量机辨识及其应用 EI文章-Hammerstein_Wiener model identification and application of least squares vector machines EI article
pa
- 功率放大器的Wiener Hammerstein建模及记忆多项式模型-Modeling PA with Wiener Hammerstein and Memory Polynomial Method
6-Digital-Predistortion-for-Power-Amplifiers-with
- Power amplifier is essential component in communication systems and it’s inherently nonlinear. This essay mainly investigate a based on Hammerstein predistorter , a memory polynomial predistorter. The Hammerstein p
8-On-the-Wiener-and-Hammerstein-Models-for-Power-
- This paper presents a comparative study on the suitability of using Hammerstein or Wiener models to identify the power amplifier (PA) nonlinear behavior considering memory effects. This comparative takes into acc
9-Adaptive-Hammerstein-Predistorter-Using-the-Rec
- The digital baseband predistorter is an effective technique to compensate for the nonlinearity of power amplifiers (PAs) with memory effects. However, most available adaptive predistorters based on direct learning ar