非线性编码与解码是现代数字通信对数字信号处理常用的一种技术。
Nonlinear encoder and decoder are common techniques of digital signal processing that are widely used in digital communications.
该算法采用了基于资源与任务相关的非线性的编码方式和反转操作，同时应用粗粒度模型设计了该算法。
It adopts a nonlinear code based on resources and tasks and inversion operation, meanwhile, a coarse-grained model is applied to design the GRAPGEP algorithm.
提出了一种新的基于非线性局部预测模式(NLLP)的信号处理方法，并将其应用于话音编码中。
Presented in this paper is a new signal processing method which is based on a nonlinear local prediction model (NLLP) and applied to speech coding.
本文设计了一种串联校正网络，可以保证比较高的制导精度和稳定性，并且可以较好地抑制激光编码带来的非线性的影响。
A kind of series connection correction network is designed, which can obtain high accuracy of guidance and stability and can greatly restrain the non-linear effect caused by laser coding.
该系统采用滚动编译码方式，每发射一次编码按非线性滚动变化一次。
The system employs rolling coding-decoding, producing a change of coding by non-linear rolling for every transmission.
分析了胶片的非线性效应对位相光栅调制深度及编码效果的影响。
The nonlinear effects of the film on the phase modulation depth and encoding results are also analysed.
基于动态CSIT获得的部分信道信息，本文深入研究了不同的预编码机制，包括线性迫零预编码、线性MMSE预编码和非线性THP预编码。
Based on the dynamic CSIT model, varies of robust precoding schemes are studied in this dissertation, including robust linear ZF precoding, robust linear MMSE precoding and robust THP precoding.
基于动态CSIT获得的部分信道信息，本文深入研究了不同的预编码机制，包括线性迫零预编码、线性MMSE预编码和非线性THP预编码。
Based on the dynamic CSIT model, varies of robust precoding schemes are studied in this dissertation, including robust linear ZF precoding, robust linear MMSE precoding and robust THP precoding.
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