Improved efficient proportionate affine projection algorithm based on l 0-norm for sparse system identification

Haiquan Zhao; Yi Yu

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Improved efficient proportionate affine projection algorithm based on l 0-norm for sparse system identification

机译：基于l 0范数的改进的高效仿射仿射投影算法，用于稀疏系统识别

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A new improved memorised improved proportionate affine projection algorithm (IMIPAPA) is proposed to improve the convergence performance of sparse system identification, which incorporates l 0-norm as a measure of sparseness into a recently proposed MIPAPA algorithm. In addition, a simplified implementation of the IMIPAPA (SIMIPAPA) with low-computational burden is presented while maintaining the consistent convergence performance. The simulation results demonstrate that the IMIPAPA and SIMIPAPA algorithms outperform the MIPAPA algorithm for sparse system identification.

机译：为了提高稀疏系统识别的收敛性能，提出了一种新的改进的记忆改进比例仿射投影算法（IMIPAPA），该算法将l 0范数作为稀疏性的度量方法纳入了最近提出的MIPAPA算法中。此外，在保持一致的收敛性能的同时，还提供了具有低计算负担的IMIPAPA（SIMIPAPA）的简化实现。仿真结果表明，在稀疏系统识别方面，IMIPAPA和SIMIPAPA算法优于MIPAPA算法。

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《The Journal of Engineering》 |2013年第1期|共4页
作者
Haiquan Zhao; Yi Yu;
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中图分类工业技术;
关键词
improved memorised improved proportionate affine projection algorithmacoustic echo cancellationsparseness measuresparse system identificationl0-normconvergence performanceIMIPAPA algorithmSIMIPAPA algorithmadaptive filter;

机译：改进的记忆式改进比例仿射投影算法回声消除稀疏度度量稀疏系统识别l0-标准收敛性能IMIPAPA算法SIMIPAPA算法自适应滤波器;

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1. Variable regularisation efficient ;C;-law improved proportionate affine projection algorithm for sparse system identification [J] . Xiao L., Wang Y., Zhang P., Electronics Letters . 2012,第3期

机译：稀疏系统识别的可变正则化； C;律改进比例仿射投影算法
2. Robust Time-Varying Parameter Proportionate Affine-Projection-Like Algorithm for Sparse System Identification [J] . Song Pucha, Zhao Haiquan, Zeng Xiangping, Circuits, systems and signal processing . 2021,第7期

机译：适用于稀疏系统识别的强大时变参数比例仿射投影算法
3. A Sparsity-Aware Variable Kernel Width Proportionate Affine Projection Algorithm for Identifying Sparse Systems [J] . Zhengxiong Jiang, Yingsong Li, Xinqi Huang, Symmetry . 2019,第10期

机译：稀疏系统的稀疏感知变量核宽度比例仿射投影算法
4. An Efficient Memory-Improved Proportionate Affine Projection Sign Algorithm Based on l_0-Norm for Sparse System Identification [C] . Yi Yu, Haiquan Zhao ISKE 2013 . 2014

机译：基于L_0-QUI的稀疏系统识别的高效内存改进的比例仿射投影符号算法
5. Sparse coding and compressed sensing: Locally competitive algorithms and random projections. [D] . Hahn, William Edward. 2016

机译：稀疏编码和压缩感知：局部竞争算法和随机投影。
6. A Correntropy-Based Proportionate Affine Projection Algorithm for Estimating Sparse Channels with Impulsive Noise [O] . Zhengxiong Jiang, Yingsong Li, Xinqi Huang 2019

机译：一种基于正管的比例仿射投影算法用于抑制脉冲噪声的稀疏通道
7. Improved efficient proportionate affine projection algorithm based on l(0)-norm for sparse system identification [O] . Haiquan Zhao, Yi Yu 2014

机译：改进的基于l（0）范数的有效比例仿射投影算法用于稀疏系统辨识
8. Efficient, FPGA-Based, Cluster Detection Algorithm Implementation for a Strip Detector Readout System in a Time Projection Chamber Polarimeter. [R] . Gregory, K. J., Hill, J. E., Black, J. K., 2016

机译：基于FpGa的高效集群检测算法实现时间投影室偏振计中的条带检测器读出系统。

Improved efficient proportionate affine projection algorithm based on l 0-norm for sparse system identification

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