搜索资源列表
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 hybrid algorithm does not.
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 predistorter is designed spec
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 account the operational complexit
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 architectures suffer from slow c