基于IIR陷波器应对频率失调的窄带ANC系统新结构

窄带主动噪声控制（ANC ）系统中往往存在频率失调（FM ）问题，传统的频率失调补偿（FMC ）系统能应对一定程度的FM，但当噪声信号非平稳或失调量较大时，系统将无法工作。针对此问题，本文提出一种带有频率估计的窄带ANC系统新结构，其采用声学和非声学两路传感器获取参考信号，引入可变极半径及平滑下降（PG ）算法构建IIR陷波器，完成参考信号的频率估计，通过一阶FIR滤波器实现幅值和相位的调节。仿真表明，在保证合理的稳态误差情况下，与传统的FMC系统相比，新系统能够应对较大的FM ，且具有良好的收敛和追踪性能。     

有源控制中通路建模模型研究

在有源控制通路建模或有源控制实现过程中，与FIR滤波器相比，虽然IIR滤波器具有诸多优点，但由于其对系统稳定性的不利影响及其工程实现的不易性，在实际通路建模时，更多地是使用FIR滤波器模型。重点研究使用FIR滤波器对包含零极点的通路传递函数进行建模时，传递函数极点位置变化对滤波器长度的影响以及极点个数对滤波器长度的影响。     

IIR数字滤波器的MATLAB设计及DSP实现

数字滤波器是数字信号处理的重要组成部分。本文主要介绍应用MATLAB设计,ⅡR数字滤波器的方法,并探讨基于TI公司TMS320C54XDSP的ⅡR数字滤波系统的实现。     

Z89XXX DSP应用——IIR数字滤波器

本文给出了一个基于Z89×××系列DSP的应用实例,介绍了Z89×××特性,热电偶测温系统数字滤波器的设计,并给出了Z89371 DSP的IlR数字滤波器程序.     

基于数字信号处理的感应式电子围栏系统设计

为解决静电感应式电子围栏的抗干扰问题,提出了一种基于数字信号处理的电子防护系统的设计方案。对系统的结构和电路设计进行了详细描述,给出了软件设计流程和仿真结果。     

基于非线性自适应IIR滤波器的混沌时间序列辨识方法

提出了一种混沌时间序列的非线性自适应IIR滤波辨识算法,该算法采用非线性IIR滤波器来自适应跟踪非线性混沌动力系统的动态特性进行辨识,实验结果表明,该算法具有较高的辨识能力和抗噪声性能。     

New IIR filter-based adaptive algorithm in active noise control applications: Commutation error-introduced LMS algorithm and associated convergence assessment by a deterministic approach

In this study, commutation error (CE) is defined in adaptive infinite impulse response (IIR) filter-based ANC systems. CE is subsequently introduced into a new residual error to develop a new LMS-based ANC algorithm in an aim to liberate the restriction of slow adaptation posed on traditional ANC algorithms. A new deterministic analysis based on a linear time-varying system is performed to investigate convergence properties of the developed algorithm: (1) An optimal step size for the fastest convergence rate can be derived. (2) Given a persistent excitation condition and a step-size constraint, we find that the algorithm is uniformly asymptotically stable. Computer simulations indeed demonstrate a greatly improved convergence rate and efficient ANC performance for the developed algorithm as compared with that using the conventional algorithms. Experimental results verify the enhanced ANC performance in real applications. These together support the new IIR filter-based adaptive algorithm that includes CE for superior ANC performance with respect to the convergence rate and noise reduction level.     

数字激光陀螺输出信号解调与实现

为了提高数字激光陀螺的精度,提取陀螺输出的有用信息,提出一种高速采样滤波法。先对输出信号高速采样,再进行IIR数字滤波的方法,可以有效提取载体实际的惯性角速率。将该方法使用VerilogHDL硬件描述语言实现,并下载到FPGA中进行试验。试验结果表明,效果良好。     

Artificial immune algorithm for IIR filter design

Over the recent years, several studies have been carried out by the researchers to describe a general, flexible and powerful design method based on modern heuristic optimisation algorithms for infinite impulse response (IIR) digital filters since these algorithms have the ability of finding global optimal solution in a nonlinear search space. One of the modern heuristic algorithms is the artificial immune algorithm which implements a learning technique inspired by human immune system. However, the immune system has not attracted the same kind of interest from researchers as other heuristic algorithms. In this work, an artificial immune algorithm is described and applied to the design of IIR filters, and its performance is compared to that of genetic and touring ant colony optimisation algorithms.     

Separate/joint optimization of error feedback and realization for roundoff noise minimization in a class of 2-D state-space digital filters

Techniques for the separate/joint optimization of error-feedback and realization are developed to minimize the roundoff noise subject to l ₂-norm dynamic-range scaling constraints for a class of 2-D state-space digital filters. In the joint optimization, the problem at hand is converted into an unconstrained optimization problem by using linear-algebraic techniques. The unconstrained problem obtained is then solved by applying an efficient quasi-Newton algorithm. A numerical example is presented to illustrate the utility of the proposed techniques.