基于Matlab的IIR数字滤波器的设计与实现

提出了一种采用Matlab的数字滤波器设计工具箱FDATOOL快速有效设计IIR数字滤波器的方法,可实时调整滤波器的参数从而使滤波器的设计达到最优。概述了FDATOOL的使用方法,采用DSP Builder建立了实现模型,给出了基于FPGA的IIR数字滤波器的实现流程,并且在最后使用Simulink进行仿真,给出了仿真波形。     

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。     

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数字滤波器设计及DSP实现

IIR滤波器是一种被广泛应用的基本的数字信号处理部件.基于DSP信号处理的优越性,将Matlab与DSP相结合应用于IIR滤波器的设计.介绍了IIR数字滤波器的理论及其Matlab常用设计函数.并针对TI公司的TMS320VC5416 DSP,结合某高通滤波器的设计,给出了其Matlab仿真设计及在DSP上的实现过程及结果.该方法具有较强的实用性,对其它数字滤波器设计及DSP实现提供了参考价值.     

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。     

基于嵌入式微计算机6811的IIR数字滤波器设计

无限脉冲响应(IIR)数字滤波器在很多领域中有着广阔的应用。本文用Butterworth法、切比雪夫1法法、切比雪夫2法通过MATLAB仿真软件对几种给定性能的IIR数字滤波器进行了仿真设计,并用基于MOTOROLA公司的M68HC11单片机进行了硬件设计实现,表明数字滤波器具有灵活、方便、功能强的特点。     

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.     

IIR数字滤波器的FPGA实现

本文介绍了IIR滤波器的FPGA实现方法，给出了IIR数字滤波器的时序控制、延时、补码乘法和累加四个模块的设计方法，并用VHDL和FPGA器件实现了IIR数字滤波。结果表明，这种实现方法扩展性好，灵活性强，速度快，专用资源少，在工程实际中有较好的应用前景。     

基于群延迟优化的IIR数字滤波器设计

针对IIR数字滤波器位于通带的频率相量延迟不同的时间量,提出了一种群延迟优化方法。对于级联型IIR滤波器系统,该方法在每一级滤波器后接入一个全通滤波器,对设计完成的全通滤波器进行零极点分析,通过分析零极点在z平面的位置,评估全通滤波器以及整个数字滤波器级联情况的稳定性。仿真实验采用8阶的巴特沃斯低通滤波器,在0～150 Hz的通带范围内,采样率48 kHz,群延迟优化采用一阶的全通滤波器,仿真结果显示该方法将群延迟的变化量在原有的系统上优化了49.58%。对比其他主流的方法,本文的方法具有计算量小和易于实现的优点。     

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FGA的IIR数字滤波器的设计与实现

给出了基于FPGA的IIR数字滤波器的设计和实现方法。首先,用双线性变换法设计出巴特沃兹数字带通滤波器的相关参数;其次,利用Maflab软件对所设计的滤波器进行了仿真分析;最后,利用QuartIlsII软件进行了模块设计和功能仿真。实验结果证明了该方法的有效性。     

基于DSP Builder和FPGA的IIR滤波器设计

针对传统的基于现场可编程门阵列（FPGA）的数字滤波器设计所需周期长,提出了基于dsp builder和FPGA的滤波器设计,完全实现自顶向下的设计流程。在此基础上设计实现四节级联IIR,并结合MATLAB强大计算功能,提出了利用MATLAB和Quartus II联合仿真算法;使输出复杂的数据变为波形,易于观察仿真结果,增强了Quartus的仿真功能。结果表明设计的IIR滤波器完全达到设计要求。     

Impulse invariance and multiple-order poles

The impulse-invariant method of IIR digital filter design from a given analog filter is useful both in filter design and especially in discrete-time simulation of continuous-time systems. The article clarifies aspects of impulse invariance and, in particular, the handling of multiple-order poles. The user is currently faced with incorrect formulas and Matlab software. The problems are discussed, and a method valid for any order poles is presented via a numerical example using original Matlab code     

格型滤波器的一种硬件设计方案

格型数字滤波器因其良好的数字特性和模块化的结构，易于采用VLSI实现。本文介绍了一种采用Altera公司的Stratix系列的FPGA芯片设计格型IIR滤波器的设计流程，利用相应的EDA（Electronic Design Automation，电子设计自动化）工具软件设计并完成软硬件仿真与验证。结果表明：该方案可以达到设计要求。     

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。     

Applications of RF aperture-array spatially-bandpass 2-D IIR filters in sub-Nyquist spectrum sensing,wideband doppler radar and radio astronomy beamforming

The application of two-dimensional (2-D) infinite impulse response (IIR) spatially-bandpass (SBP) filters as a digital beamformer for a wide spectrum of practical applications spanning wireless cognitive radio communications, doppler radar, and radio astronomy instrumentation is discussed. The paper starts with an introduction of the recently proposed 2-D SBP filter. The first application is a spectrum sensing scheme for dynamic spectrum access based cognitive radios. A 2-D IIR SBP filter is used in conjunction with a sub-Nyquist wideband signal reconstruction technique to achieve aperture-array directional spectrum sensing using sub-Nyquist sparse sampling based on the recently reported Eldar algorithm. The second application is related to wideband pulse and continuous-wave frequency modulated Doppler radar sensing. The SBP filter is integrated with a wideband radar back-end connected to an electronically-steerable aperture antenna. A a low-complexity directional localization algorithm is presented, which estimates the range and angle of a target scatterer with a signal to interference ratio improvement of 10 dB. We also present applications of 2-D IIR SBP in the fields of classification and remote sensing of unmanned aerial vehicles. Finally, a digital aperture-array wideband beamforming model using the 2-D IIR SBP filters is presented for radio telescope systems based on dense aperture arrays and time-domain beamforming. A well-known example is the study of pulsar astrophysics using a highly-directional aperture antenna system. The 2-D IIR SBP beamformer is simulated as the digital backend of the time-domain beamforming system with array signals synthesized using measured time-domain signatures from the Crab pulsar obtained from the GAVRT. The SBP filter shows a gain of 12.3 dB with an order of magnitude lower circuit complexity compared to traditional phased-array digital beamformers. To obtain comparable levels of SINR improvement, the wideband phased-array beamformers require 48-point FFTs per antenna. Assuming the optimum three real-multiplications per complex multiplication for the Gauss algorithm, it is discovered that the proposed 2-D IIR SBP beamformers are more than 97 % lower in digital multiplier complexity compared to traditional FIR phased-array FFT-beamformers.     

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