基于免疫算法的IIR数字滤波器优化与实现

由于IIR数字滤波器设计实质上是一个非线性高维复杂函数优化问题,文中提出基于具有全局搜索能力强,收敛速度快特点的免疫算法实现IIR数字滤波器优化设计的新方法,给出了IIR滤波器优化设计的数学模型,描述了应用免疫算法优化设计IIR数字滤波器的具体实现步骤。通过低通和高通IIR数字滤波器设计的仿真结果表明方法的有效性和高效性。     

IIR数字滤波器的FPGA实现

应用Matlab工具软件对IIR数字滤波器进行参数计算和仿真.进一步给出了用FPGA实现IIR数字滤波器的硬件电路方案.用VHDL语言描述了FPGA的电路系统设计及其仿真,结果表明设计的IIR数字滤波器满足设计要求.     

基于FPGA的IIR数字滤波器的实现

数字信号处理在科学和工程技术许多领域中得到广泛的应用,与FIR数字滤波器相比,IIR数字滤波器可以用较低的阶数获得较高的选择性,本文采用一种基于FPGA的IIR数字滤波器的设计方案,首先分析了IIR数字滤波器的原理及设计方法,然后通过MAX＋PLUSⅡ的设计平台,采用自顶向下的模块化设计思想将整个IIR数字滤波器分为：时序控制、延时、补码乘加和累加4个功能模块。分别对各模块采用VHDL进行描述后,进行了仿真和综合。仿真结果表明,本课题所设计的IIR数字滤波器运算速度较快,系数改变灵活,有较好的参考价值。     

基于Matlab的IIR数字滤波器快速设计

针对数字滤波器的概念比较抽象,且数值计算较为繁琐的问题,文中给出了借助模拟滤波器快速设计IIR数字滤波器的方法,并在Matlab环境下做出了IIR滤波器的快速设计系统。设计实例及运行结果表明,该设计方法简化了IIR数字滤波器的设计程序,并大幅提高了设计效率。     

基于MATLAB的数字滤波器交互界面设计

数字滤波器在数字信号处理中具有举足轻重的作用。在分析IIR数字滤波器和FIR数字滤波器设计原理的基础上,在设计过程中使用MATLAB提供的GUI工具,实现了方便用户使用的数字滤波器交互界面开发,进行应用演示,最后对IIR数字滤波器和FIR数字滤波器进行了对比分析。     

基于单自由度振动模型的IIR数字滤波器设计

无限冲击响应(IIR)数字滤波器设计通常需要先设计S域滤波器,再变换到Z域。为简化IIR数字滤波器的设计过程,本文提出利用单自由度系统(SDOF)模型直接设计IIR数字滤波器的方法,包括低通、带通、高通、带阻等。仿真结果表明设计过程直接、简单,滤波器参数不需要随采样频率而变,具有良好特性,是一种设计IIR数字滤波器的简便易用的新方法。     

IIR数字滤波器的仿真实现研究

作为改变信号频谱的算法装置,数字滤波器及其设计受到人们广泛地关注,其分为有限长冲激响应（FIR）数字滤波器和无限长冲激响应（IIR）数字滤波器。文中探究具有无限持续时间的冲击响应的IIR数字滤波器系统,并提出如何利用MATLAB软件实现仿真设计。     

基于Matlab的IIR数字滤波器设计

数字滤波是数字信号处理的重要内容,可分为FIR和IIR两大类。文章介绍了基于MATLAB的IIR数字滤波器设计方法。先确定性能参数,再按照映射规则(冲激响应不变法或双线性变换法)变换成模拟滤波器的性能参数,然后采用一定的逼近方法(巴特沃斯型或切比雪夫型)设计模拟滤波器,最后将模拟滤波器按照映射规则转变成数字滤波器。通过Matlab实验仿真,成功地设计出了满足预定指标的IIR数字滤波器。     

IIR数字滤波器的优化设计和DSP实现

首先叙述了直接Ⅱ型IIR(无限冲击响应)数字滤波器能够克服使用定点DSP实现IIR数字滤波器时引起的输入数据的溢出问题;然后利用MATLAB软件生成滤波器的输入数据和系数,进行相应的数据压缩处理,并生成仿真波形;最后给出了用DSP语言实现直接Ⅱ型结构IIR数字滤波器的完整程序、仿真结果,同时对仿真结果进行了分析、比较。     

IIR数字滤波器的粒子群优化设计方法

探讨了IIR（Infinite Impulse Response）数字滤波器的设计,重点研究了IIR数字滤波器设计的粒子群优化（Particle Swarm Optimization,PSO）算法及算法框图,总结了粒子群优化算法的实现步骤。这一算法的提出,避免了传统算法的缺点,所设计的滤波器达到了理想的性能。通过实验表明,IIR数字滤波器的粒子群优化算法优于遗传算法。     

IIR数字滤波器在定点DSP中可实现性的仿真分析

在使用定点DSP芯片实现IIR数字滤波器的工程实践中,对于给定的滤波器设计指标,当取样频率提高时,在Matlab辅助设计中能够实现的IIR滤波器,在TMS320C54x上却特性改变,甚至无法使用。对此进行了较深入的仿真分析和研究,找出了在定点DSP上实现IIR数字滤波器时,滤波器系数取值的约束条件,摸索了解决问题的基本途径。     

IIR数字滤波器的Matlab和FPGA实现

提出一种通过两个二阶节级联构成四阶IIR数字椭圆滤波器的设计方法,并利用Matlab仿真软件设计了通带内波纹不大于0.1 dB,阻带衰减不小于42 dB的IIR数字滤波器。论述了一种采用可编程逻辑器件,通过VHDL硬件描述语言实现该滤波器的方法。给出了在QuartusⅡ软件下的仿真结果,并在FPGA器件上验证实现。实验证明,这种方法是切实可行的。     

基于SystemView数字滤波器设计的仿真与分析

SystemView是一个动态系统分析设计软件,具有强大的数字信号处理功能,文中介绍了基于SystemView数字滤波器的设计,它集IIR和FIR滤波器于一身,且IIR滤波器的模拟滤波器原型、FIR滤波器的窗函数及相关参数很容易通过设计界面进行设置。仿真结果表明,所设计出的滤波器符合设计要求和指标。     

Cooperative Coevolutionary Genetic Algorithm for Digital IIR Filter Design

A novel algorithm for digital infinite-impulse response (IIR) filter design is proposed in this paper. The suggested algorithm is a kind of cooperative coevolutionary genetic algorithm. It considers the magnitude response and the phase response simultaneously and also tries to find the lowest filter order. The structure and the coefficients of the digital IIR filter are coded separately, and they evolve coordinately as two different species, i.e., the control species and the coefficient species. The nondominated sorting genetic algorithm-II is used for the control species to guide the algorithms toward three objectives simultaneously. The simulated annealing is used for the coefficient species to keep the diversity. These two strategies make the cooperative coevolutionary process work effectively. Comparisons with another genetic algorithm-based digital IIR filter design method by numerical experiments show that the suggested algorithm is effective and robust in digital IIR filter design     

PCLS IIR digital filters with simultaneous frequency responsemagnitude and group delay specifications

This paper presents the peak-constrained least-squares (PCLS) approach to designing IIR digital filters. PCLS IIR digital filters that meet simultaneous specifications on the frequency response magnitude and the group delay are introduced. As a point of reference, we consider the IIR digital filter design problem that appears in Deczky's (1972) classic paper and in the popular textbook by Oppenheim and Schafer (1989). In addition, the same design problem appears in the IIR filter design chapter by Higgins and Munson (1993) in the Handbook for Digital Signal Processing. By using our new algorithm with simultaneous optimization of the frequency response magnitude and the group delay, we obtain a dramatic improvement in the solution of this classic IIR digital filter design problem. Starting from the same filter structure and the same specifications for the frequency response magnitude as in the works of Deczky, Oppenheim and Schafer, and Higgins and Munson, we are able to reduce the group delay ripple by a factor of 35. In another design problem that originated in Deczky's work, we use PCLS optimization to reduce the group delay ripple by a factor of 40 at the same time we reduce the stopband energy by 6 dB, without sacrificing any other performance measure. The group delay ripple in this IIR digital filter example is reduced to only ±0.002 samples     

Design of stable IIR digital filter based on least P-power error criterion

In this paper, the least p-power error criterion is presented to design digital infinite impulse response (IIR) filters to have an arbitrarily prescribed frequency response. First, an iterative quadratic programming (QP) method is used to design a stable unconstrained one-dimensional IIR filter whose optimal filter coefficients are obtained by solving the QP problem in each iteration. Then, the proposed method is extended to design constrained IIR filters and two-dimensional IIR filters with a separable denominator polynomial. Finally, design examples of the low-pass filter are demonstrated to illustrate the effectiveness of the proposed iterative QP method.