自适应切换中值滤波器的实现Nallaperumal、Krishnan、Justin Varghese、S. Saudia、K. Arulmozhi、K. Velu 和 S. Annam。 “使用自适应开关中值滤波器消除盐和胡椒脉冲噪声。” 在 OCEANS 2006-亚太地区，第 1-8 页。 IEEE，2007 年。

实现了 Fejzo 和 Lev-Ari (1997) 提出的阶递归自适应拉盖尔滤波器。 好处： *与模拟长脉冲响应的 FIR 滤波器相比，要建模的参数更少 *保证的稳定性，唯一的全局最小值，少量参数，可避免规定的建模误差 *数值鲁棒性和低计算复杂度（ O(M) ）。 *快速收敛（RLS 等效），无需先验学习率 *顺序递归，因此滤波器系数彼此不相关，允许模块化实现。 将极点参数设置为0会产生标准的经典梯度自适应FIR算法。 包括有关抗串扰回声消除的简单示例，以展示如何使用它。

正弦信号的matlab代码自适应信号处理 非线性放大器和线性预测滤波器的总谐波失真 Srilakshmi Alla 内容 清除记忆 clc; clear all; close all; 以下给出的配置用于测量非线性放大器的总谐波失真 输入信号是一个1-kHz正弦波，以48k的5k长度采样 x=sin(2*pi*1/48*(0:4999)); 非线性放大器的模型 clip=1.3; x_0=abs(x)/clip; phi=angle(x); y1=clip*(x_0./(1+x_0.^6).^(1/6)).*cos(phi); 非线性传递函数 clip=1.3; x_dat=0:0.02:2; x_0=abs(x_dat)/clip; y_dat=clip*(x_0./(1+x_0.^6).^(1/6)); 一个子图显示了非线性传递函数，第二个子图显示了非线性放大器的输入和输出的200个样本，在第三个子图上显示了失真信号的2 k窗口频谱。 figure; subplot(3,1,1); plot(x_dat,x_dat,'linewidth',2); hold on; plot(x_d

QRD-RLS Adaptive Filtering Jos´e Antonio Apolin´ario Jr. I feel very honoured to have been asked to write a brief foreword for this book on QRD-RLS Adaptive Filtering – a subjectwhich has been close to my heart for many years. The book is well written and very timely – I look forward personally to seeing it in print. The editor is to be congratulated on assembling such a highly esteemed team of contributing authors able to span the broad range of topics and concepts which underpin this subject. In many respects, and for reasons well expounded by the authors, the LMS algorithm has reigned supreme since its inception, as the algorithm of choice for practical applications of adaptive filtering. However, as a result of the relentless advances in electronic technology, the demand for stable and efficient RLS algorithms is growing rapidly – not just because the higher computational load is no longer such a serious barrier, but also because the technological pull has grown much stronger in the modern commercial world of 3G mobile communications, cognitive radio, high speed imagery, and so on.

Digital Beamforming in Wireless Communications John Litva and Titus Kwok-Yeung Lo

结合了人工智能算法实现硬件的隐身，动态调节天线的反射波，实现对入射电磁波的隐身，是深度学习在硬件上应用的经典之作

The burgeoning popularity of space-time adaptive processing (STAP) is easily demonstrated with a quick keyword search. Although originally coined for airborne multichannel moving target indicator (MTI) radar [1, 2], the acronym has been adopted in many disciplines in which joint adaptive sensor temporal and spatial processing are performed

The Adaptive Partitioning User's Guide will help you configure adaptive partitioning to divide system resources between competing processes.

很有用的一本英文信号处理书籍，在信号处理方面的知识非常齐全、详尽。真是一本好书

哈夫曼编码，自适应哈夫曼编码；字典LZW编码；算术编码，输出每个字符的编码，整个字符串的编码以及压缩率