一种低复杂度的稀疏FIR陷波滤波器的设计方法

FIR陷波滤波器具有线性相位、精度高、稳定性好等诸多优势,然而当陷波性能要求较高时,通常需要较高的阶数,导致FIR陷波滤波器硬件实现复杂度大大提高。该文基于稀疏FIR滤波器设计算法和共同子式消除的思想,提出一种低复杂度的FIR陷波滤波器设计方法。该方法首先采用稀疏滤波器设计算法得到满足频域性能设计要求的FIR陷波原始滤波器系数,然后对其进行CSD编码,并分析CSD编码量化系数集中所有的2项子式和孤子的灵敏度,最后根据灵敏度的大小依次选择合理的2项子式或孤子直接合成滤波器系数集。仿真结果表明,新算法设计实现的FIR陷波滤波器比已有的低复杂度设计方法最多可减少51%的加法器,有效地降低了硬件实现复杂度,大大节省了硬件资源。     

IIR数字滤波器的研究与设计

文中探讨了利用模拟滤波器设计IIR数字滤波器过程中的转换方法,脉冲响应不变法和双线性变换法,在MATLAB中以两种方法设计了数字巴特沃思低通滤波器。探讨了MATLAB中非低通数字滤波器的完全工具函数设计法和分步函数设计法,以上述方法分别设计了切比雪夫I型数字低通、高通、带通、带阻滤波器。     

线性变换数字滤波器灵敏度分析的有效方法

线性变换方法的出现拓宽了由模拟原型设计低灵敏度数字滤波器的领域,形成众多的不同数字结构。本文提出一种灵敏度分析的新方法,它立足于对模拟原型滤波器的计算,故能适用于各种线性变换数字滤波器,简捷而有效,精确度高。     

模块法设计FIR数字陷波器的一种新方法

在模块法设计ＦＩＲ数字滤波器的基础上，提出一种设计ＦＩＲ数字陷波器的新方法。该方法将数字陷波器等效成为一个全通滤波器减去一个由基本频率单元构成的点通滤波器，进而推导出计算数字陷波器冲激响应的数学公式。该方法具有公式简单、物理概念清晰，陷波点频率不受模块数取整的约束，便于连续控制陷波点频率的优点。与窗口法设计相比，在同等凹口宽度下具有阶数减半的优点。同时，该方法可以推广至带阻滤波器的设计。     

粒子群优化算法在FIR数字滤波器设计中的应用

本文针对有限脉冲响应(FIR)数字滤波器的设计实质上是一个多参数优化问题,提出了一种用粒子群优化算法(PSO)设计FIR数字滤波器的方法.首先将滤波器的设计问题转化为滤波器参数的优化问题,然后利用粒子群优化算法对整个参数空间进行高效并行搜索以获得参数的最优化.FIR数字低通、带通滤波器设计实例证明了该方法的有效性和优越性.     

基于扩频通信的抗干扰陷波技术研究

通过分析直接序列扩频通信系统所面临的阻塞式窄带干扰问题,提出了一种抗干扰窄带陷波技术;对集总参数、分布式参数滤波器进行了分析和变换,建立了同轴腔可调谐窄带陷波器电路模型,给出了一种适于宽频段抗干扰陷波的工程设计和实现方法,并对所设计电路进行了制作和实验;测试结果表明,该方法不但能提高滤波器的通带调谐范围,而且还可以对阻带的凹口深度和宽度进行叠加控制.试验结果证实了该方法的有效性和正确性.     

针对窄带干扰抑制的数字陷波器设计

现代扩频技术中,由于带宽和技术方面限制了扩频处理增益,使得固有的抗干扰性能得不到更好发展,因此设计滤波器抑制窄带干扰是信息处理的关键技术之一。在分析一般2阶IIR陷波器设计方法的基础上,提出一种新颖的数字外差滤波器,其思想来源于通信系统中的调制解调,在结构和算法上不同于一般处理技术,而且能控制馅波深度和宽度这样的参数。从理论推导及仿真试验都可以看出,这种滤波器系统稳定、灵敏度高,能够较好地滤除窄带干扰的影响。     

基于matlab的数字滤波器设计

数字滤波器是数字信号处理的一个重要分支,它的精确度高、使用灵活、可靠性高,具有模拟设备所没有的许多优点,采用数字滤波器对信号进行处理是目前的发展方向。数字滤波器可分为IIR和FIR两大类,本文根据模拟滤波器的设计原理,提出了基于MATLAB的数字滤波器的设计与仿真,并在MATLB环境下实现了FIR数字滤波器的仿真,通过分析可知所设计的滤波器符合我所提出的技术指标。     

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PSO的FIR数字滤波器设计

有限冲激响应(FIR)数字滤波器的设计实质是一个多参数优化的问题,而传统的一些优化设计方法,如遗传算法、神经网络法等,存在算法复杂,收敛速度慢,效果不明显等缺点.提出一种改进粒子群优化算法(IMPSO)的FIR数字滤波器设计.该方法首先根据粒子聚合度情况引入变异思想,克服PSO算法容易早熟的毛病,对算法进行改进,然后利用改进的IMPSO搜索滤波器参数的最优解,对FIR滤波器进行优化设计.实例设计FIR数字低通、带通滤波器,仿真结果表明,该方法具有算法简单,收敛速度快,鲁棒性好等优点.     

Digital filter design techniques in the frequency domain

Digital filtering is the process of spectrum shaping using digital components as the basic elements. Increasing speed and decreasing size and cost of digital components make it likely that digital filtering, already used extensively in the computer simulation of analog filters, will perform, in real-time devices, the functions which are now performed almost exclusively by analog components. In this paper, using the z-transform calculus, several digital filter design techniques are reviewed, and new ones are presented. One technique can be used to design a digital filter whose impulse response is like that of a given analog filter; other techniques are suitable for the design of a digital filter meeting frequency response criteria. Another technique yields digital filters with linear phase, specified frequency response, and controlled impulse response duration. The effect of digital arithmetic on the behavior of digital filters is also considered.     

一种模拟滤波电路数字化方法

在信号处理中,滤波的优劣直接影响信息的准确性。模拟滤波虽然快捷但不灵活,数字滤波效果虽好但复杂。所以文中提出一种以模拟滤波器为基准,设计具有相同功能而且参数可调的数字滤波器的方法。并以二阶RC无源低通滤波电路为例对此过程进行说明,与模拟滤波电路和传统的数字滤波相比,该方法不仅比传统的数字滤波算法简单快捷,而且可有效防止模拟电路中器件的寄生参数、精度、温度等的影响,使滤波更加稳定。     

Optimal Use of Some Classical Approximations in Filter Design

The classical Butter worth, Chebyshev and Elliptic (Cauer) low-pass filter approximations can be used in the design of analog and IIR digital filters in such a way as to obtain passband, stopband and transition band optimized filters at no order cost. The exact analytical relationships for such an optimal deployment of these approximations are developed and presented in this paper and their use is demonstrated through design examples.     

The Design of Linear-Phase FIR Multiple-Notch Filters with Variable Notch Frequencies

In this paper, a paradigm is developed to design the linear-phase FIR multiple-notch filters with variable notch frequencies. The design procedure can be proceeded through two steps: First, a linear-phase narrow-band low-pass filter met the given bandwidth and stopband ripple specifications is designed. Second, a tuning procedure is applied to the computed low-pass filter to yield the desired multiple-notch filter. When the notch frequencies are varied, the same tuning procedure can be employed to render the multiple-notch filter with the new set of the notch frequencies. The tuning procedure employed reduces the computational complexity of designing the multiple-notch filter with the new set of the notch frequencies. The simulation results demonstrate the effectiveness of our scheme.     

心电信号处理中的数字滤波器的设计

心电信号是一种基本的人体信号,其中常带有肌电干扰、基线漂移和工频干扰等各种噪声,为了得到不失真的原始心电信号,在显示信号前要进行必要的滤波预处理.介绍了处理ECG信号中滤波器的设计,包括去除噪声的低通、高通和带阻滤波器.     

用双线性变换法设计IIR滤波器

给出了用双线性变换法设计IIR数字滤波器的方法,并通过用MATLAB语言来实现。双线性法可以使系统经变换后仍保持原有特性,而且这种方法是S域和Z域的单值一一对应,克服了频率交叠产生的混叠效应;最后使用MATLAB语言实现了满足要求的低通IIR滤波器,从而证明了椭圆滤波器具有最优特性。     

Stability problems in universal current-mode filters

Analog circuit designers have usually focused on the design of circuits employing a minimum number of components, occupying less area and dissipating less power. However, some important issues such as signal limitations and especially stability problems of the analog circuits have not received considerable attention in the literature. Hence, the work described in this paper deals with the stability problems of two new current-mode analog filters employing multiple output current controlled conveyors (MOCCCIIs). Toward that end, a single pole model is replaced for each non-ideal current gain of the MOCCCIIs. Both of the novel universal current-mode active-C filters can simultaneously realize low-pass, band-pass and high-pass/notch filter responses. SPICE and MATLAB simulation results are given to verify the theoretical analysis.     

FIR digital filter design techniques using weighted Chebyshev approximation

This paper discusses the various approaches to designing FIR digital filters using the theory of weighted Chebyshev approximation. The different design techniques are explained and compared on the basis of their capabilities and limitations. The relationships between filter parameters are briefly discussed for the case of low-pass filters. Extensions of the theory to the problems of magnitude and complex approximation are also included, as are some recent results on the design of two-dimensional FIR filters by transformation.     

Design and implementation of filters using transfer functions inthe Z domain

In this paper, a novel approach composed of digital signal-processing techniques and optimization algorithms is developed to design and implement filters at microwave frequencies. The design phase begins with the adoption of digital filter prototypes and the implementation phase is facilitated by using both parametric modeling techniques and optimization algorithms. All the zeros of digital filter prototypes are removed first; the remaining part of the prototypes is then transformed to an autoregressive (AR) process by parametric modeling techniques. The values of characteristic impedances of transmission lines synthesizing the filters are adjusted according to the AR process by optimization algorithms. Both low-pass and bandpass filters are designed and then implemented in the form of a microstrip line, and their frequency responses are measured to validate the novel approach     

A floating-point digital receiver for MRI

A magnetic resonance imaging (MRI) system requires the highest possible signal fidelity and stability for clinical applications. Quadrature analog receivers have problems with channel matching, dc offset and analog-to-digital linearity. Fixed-point digital receivers (DRs) reduce all of these problems. We have demonstrated that a floating-point DR using large (order 124 to 512) FIR low-pass filters also overcomes these problems, automatically provides long word length and has low latency between signals. A preloaded table of finite impuls response (FIR) filter coefficients provides fast switching between one of 129 different one-stage and two-stage multrate FIR low-pass filters with bandwidths between 4 KHz and 125 KHz. This design has been implemented on a dual channel circuit board for a commercial MRI system.