AN APPLICATION OF EVOLUTIONARY PROGRAMMING IN FIR FILTER DESIGN WITH FREQUENCY SAMPLING METHOD

Frequency sampling is one of the popular methods in FIR digital filter design. In the frequency sampling method the value of transition band samples, which are usually obtained by consulting a table, must be determined in order to make the attenuation within the stopband maximal. However, the value obtained by searching for table can not be ensured to be optimal. Evolutionary programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems. In this paper a new application of EP to frequency sampling method is introduced. Two examples of lowpass and bandpass FIR filters are presented, and the steps of EP realization and experimental results are given. Experimental results show that the value of transition band samples obtained by EP can be ensured to be optimal and the performance of the filter is improved.

Efficient Single Event Upset-Tolerant FIR Filter Design Based on Residue Number for OBP Satellite Communication Systems

Cosmic radiation has several effects on the On-Board Processing(OBP)platform in satellite communications systems,and Single Event Upsets(SEUs)are one of its most important effects.In order to protect the Finite Impulse Response(FIR)filters against SEU,this paper proposes a novel Residue Number(RN)-based method.The proposed method applies the transpose form of the FIR filter to avoid the fault missing caused by SEU on shift registers.It also adjusts the input intelligently to avoid the fault missing caused by SEU on the filter coefficients.After all the fault missing events are avoided,the modulus can be minimised to achieve the minimum overhead.Theoretical analysis and simulation results show that the noise introduced by the input adjustment is negligible.Fault injection shows that the fault missing rate of the proposed method is zero.Finally,FPGA implementation shows that the overhead of the proposed method is approximately 75% of Triple Modular Redundancy,and is only 1%-2% higher than that of the traditional RN-based design.

Incorporation of Reduced Full Adder and Half Adder into Wallace Multiplier and Improved Carry-Save Adder for Digital FIR Filter

Improvement of digital FIR filter is vital in the field of Digital Signal Processing in order to reduce the area, delay and power. Multiplication and Accumulation (MAC) unit of Finite Impulse Response (FIR) filter has been designed using efficient multiplier and adder circuits for optimized APT (Area,Power and Timing) product. In this paper, the design of direct form FIR filter with efficient MAC unit has been presented. Initially, full adder and half adder structures are shrunk down by reducing number of gates. These compact full adder and half adder structures are incorporated into Wallace Multiplier and Improved Carry-Save Adder. The proposed 16-bit Carry-Save Adder has been improved by splitting into four parallel phases. Consequently the delay of enhanced Carry- Save Adder is reduced. Generation of carry output is performed using number of OR gates in a sequential manner. All these enhanced architectures are incorporated into the Digital FIR Filter to reduce the area, delay and power utilization.

FPGA-Based Efficient Programmable Polyphase FIR Filter

The modelling, design and implementation of a high-speed programmable polyphase finite impulse response (FIR) filter with field programmable gate array (FPGA) technology are described. This FIR filter can run automatically according to the programmable configuration word including symmetry/asymmetry, odd/even taps, from 32 taps up to 256 taps. The filter with 12 bit signal and 12 bit coefficient word-length has been realized on a Xilinx VirtexⅡ-v1500 device and operates at the maximum sampling frequency of (160 MHz.)

Indoor INS/UWB-based Human Localization With Missing Data Utilizing Predictive UFIR Filtering

A combined algorithm for the loosely fused ultra wide band(UWB)and inertial navigation system(INS)-based measurements is designed under the indoor human navigation conditions with missing data.The scheme proposed fuses the INS-and UWB-derived positions via a data fusion filter.Since the UWB signal is prone to drift in indoor environments and its outage highly affects the integrated scheme reliability,we also consider the missing data problem in UWB measurements.To overcome this problem,the loosely-coupled INS/UWB-integrated scheme is augmented with a prediction option based on the predictive unbiased finite impulse response(UFIR)fusion filter.We show experimentally that,the standard UFIR fusion filter has higher robustness than the Kalman filter.It is also shown that the predictive UFIR fusion filter is able to produce an acceptable navigation accuracy under temporary missing UWB-data.

Digital FIR filter design for bio-signal processing system

Recently,real-time processing systems for bio-signal of the muscles generated by the movement of the user have been developed.Finite impulse response(FIR)filter for bio-signal processing in bio-signal process systems is composed of multiple multiplier and adder of high-area.This makes the chip area increase significantly.To solve this problem,a low-area digital FIR filter is proposed in this paper,which can reduce the chip area.

DAPSO and PSO-VAF in Linear Phase Digital Low Pass FIR Filter Design

Digital filters play a key role in the field of digital signal processing. This paper presents a linear phase digital low pass finite impulse response (FIR) filter design using particle swarm optimization and its two new variants, dynamic and adjustable particle swarm optimization (DAPSO) and particle swarm optimization with variable acceleration factor (PSO-VAF) and illustrates the superiority of the PSO-VAF method over PSO based methods. Two fitness functions are considered. The fitness1 is used to find the possible minimum ripples in pass band and stop band in case of PSO, DAPSO and PSO-VAF. Fitness2 is able to control the ripples in both bands separately. A comparison of simulation results demonstrates the performance of PSO and its methods in designing digital low pass FIR filters.

High-Performance FIR Filter Implementation Using Anurupye Vedic Multiplier

In this, today’s world immeasurable analysis goes within the field of communication and signal processing applications. The FIR filter is mostly employed in filtering applications to enhance the quality of the signal. In any processor, the performance of the system is based on the speed of the multiplier unit involved in its operation. Since multiplier forms the indispensable building blocks of the FIR filter system. Its performance has contributed in determining the execution of the FIR filter system. Also, due to the tremendous development in the technology, many approaches such as an array, Vedic methods are made to speed up the multiplier computations. The problem in speed-up operation and resource utilization of hardware with all the conventional methods due to the critical path found in partial products has to be optimized using proposed method. This paper presents the implementation and execution of a FIR Filter design using Anurupye multiplier. Here the FIR filter is examined by using various multiplier algorithms such as Anurupye, Urdhava Tiryagbhyam, and array multipliers. The FIR filter is simulated for analyzing delay;area and power are meted out and lessened by utilizing proposed Anurupye multiplier. The FIR filter design utilizing proposed multiplier offers delay around 18.99 and only 4% of LUT slice utilization compared to existing methods. This architecture is coded in VHDL, simulated using the ModelSim and synthesized with Xilinx.

基于FIR-Stacking的刀具磨损预测

针对铣刀加工工件时传感器信号存在噪声、单一传统机器学习模型预测效果不理想的问题,提出一种基于自适应FIR滤波器和Stacking集成模型的刀具磨损预测方法。首先,采用自适应FIR滤波器去噪,计算时域、频域和时频域常用统计量作为信号特征,并对同一信号的多源信号特征进行拼接,经Pearson相关系数筛选保留相关系数大于0.2的特征;最后,以LightGBM、支持向量回归(support vector regression,SVR)、多层感知机(multilayer perceptron,MLP)作为基模型,Lasso作为元模型,构建Stacking集成模型进行刀具磨损预测。使用铣削加工数据集进行验证,结果表明该方法可有效提高预测准确性。

带FIR滤波的非线性滑动平均动态软测量模型

非线性滑动平均(NMA)模型能有效描述工业过程的动态特性,是一种典型的动态软测量模型.而受限于模型复杂度,NMA模型的输入时序边界相对较窄,难以适应带有大滞后或强测量噪声的动态工业过程.针对该问题,本文将NMA模型与结构简单、输入时序边界宽的FIR滤波器相结合,构造一种非线性、强抗干扰的软测量建模策略.并设计层白化结构来避免二者间的参数耦合现象,采用Adam算法进行同步优化,提高模型的预测精度及训练效率.最后,利用数值仿真和硫回收过程建模实验,验证所提模型的预测精度以及模型设计的合理性.

一种基于优化分布式算法的FIR滤波器设计

本文针对采用分布式算法设计实现高阶FIR滤波器时,RAM资源占用较多的问题,提出了一种分布式算法的优化方法。讨论了分布式算法的基本原理,给出了分布式算法的优化方法并进行FPGA设计。结果表明,优化分布式算法相比于传统分布式算法,RAM资源占用量减少50%,具有良好的工程应用价值。

一种通用数字fir滤波器设计方法

该文以现代工程应用场景为背景,从数字滤波器的数学原理和应用方法出发,对基于FIR滤波器的成形滤波器、多相滤波器以及CIC滤波器的应用进行了分析。结合Matlab和Vivado软件,提出了一套通用的数字滤波器设计方法。详述了Matlab中的滤波器参数配置和coe文件输出方法,并将所给滤波器系数文件导入Vivado软件进行仿真验证。结果显示设计的滤波器有效处理信号,验证了该方法的可靠性和适用性。

基于可变分数延时FIR滤波器的小电流接地系统故障选线方法

故障选线是小电流接地系统故障维修的基础。为降低错选率,本文提出了基于可变分数延时FIR滤波器的小电流接地系统故障选线方法。利用无线传感器感知接地系统线路的零序电流信号,采用开、闭组合滤波算法对信号进行滤波处理,利用可变分数延时FIR滤波器进行信号变换、分数时延校正,提取到零序电流信号的全域幅度特征,采用余弦相似度确定系统的故障线路,以此实现基于可变分数延时FIR滤波器的小电流接地系统故障选线。实验证明,本文的故障选线方法错选率在1%以内,选线精度较高,具有一定的推广应用价值。

基于MATLAB的FIR数字滤波器设计

针对信号加噪声信号采集系统中的信号处理过程,设计并实现一款基于MATLAB的FIR数字低通滤波器。简单介绍窗函数法设计FIR数字滤波器理论,举实例介绍窗函数法设计FIR数字滤波器具体步骤,通过仿真验证设计正确性。形象展示FIR数字滤波器滤波过程。加深对FIR数字滤波器设计方法和滤波器网络结构认知理解。通过仿真验证完成对输入信号加噪声信号的滤波,证明设计的正确性。

Small-Space Microphone Array Fractional Delay Algorithm Based on FIR Filter for Cochlear Implant

Directional speech enhancement of signals from microphone arrays is an effective way to improve speech recognition for cochlear implant users. The strict implant size limitation results in a short distance between microphones. The fractional delay problem due to the short distance between microphones is solved by a maximal flat （Maxflat） finite impulse response （FIR） filter, using the Maxflat error criteria at a low frequency containing most of the speech information and energy. The fractional Maxfiat FIR filter approximates the ideal digital fractional filter at the magnitude response, phase response, and phase delay characteristics, and is also very low order. The results demonstrate that the Maxflat FIR filter accurately and effectively solves the fractional digital delay and is very suitable for real-time speech processing in practical cochlear implant products.

A digital energy spectroscopy based on FIR filter

We designed a universal digital energy spectroscopy based on online digital signal processing. A prototype system was built and tested. Signals from radiation detectors were processed via a digital filter whose coefficients could be modified without changing the hardware. The paper introduces the hardware design of the digital energy spectroscopy system as well as the full set of software consisting of the selection of the coefficients of the finite impulse response (FIR) filter and the coding in the field-programmable gate array (FPGA). The system was tested with the high purity germanium (HPGe) detector. The results showed that this prototype can achieve an energy resolution close to that of a traditional multi-channel analyzer (MCA) with a much higher counting rate.

Forward/backward prediction solution for adaptive noisy FIR filtering

An important and hard problem in signal processing is the estimation of parameters in the presence of observation noise.In this paper, adaptive finite impulse response （FIR） filtering with noisy input-output data is considered and two developed bias compensation least squares （BCLS） methods are proposed.By introducing two auxiliary estimators, the forward output predictor and the backward output predictor are constructed respectively.By exploiting the statistical properties of the cross-correlation function between the least squares （LS） error and the forward/backward prediction error, the estimate of the input noise variance is obtained; the effect of the bias can thereafter be removed.Simulation results are presented to illustrate the good performances of the proposed algorithms.

FIR数字滤波器综合实验设计

把Matlab软件与CCS 5.5软件相结合,完成FIR数字滤波器综合实验设计.借助Matlab软件中的FIR数字滤波器设计函数,求得FIR数字滤波器的单位脉冲响应h(n).通过h(n)得到FIR数字滤波器的直接型网络结构,借助Matlab函数tf2sos,求得FIR数字滤波器的级联型网络结构的系数矩阵和增益,得到FIR数字滤波器的级联型网络结构.提出了实现FIR数字滤波的线性卷积计算方法.根据FIR低通或高通滤波器的截止频率ωc,设计了输入序列x(n).借助CCS 5.5软件,设计实现FIR数字滤波器的直接型网络和级联型网络滤波的C语言程序,很好地完成对输入序列x(n)的滤波.仿真实验结果表明,借助Matlab软件和CCS 5.5软件能够较好地完成FIR数字滤波综合实验设计.

基于一种新的三模集的低通FIR数字滤波器设计

本文对低通有限脉冲响应(FIR)数字滤波器的设计进行了研究;在对常用三模集和传统的具有脉冲响应系数的FIR数字滤波器分析的基础上,提出将一种新的三模集应用于低通FIR数字滤波器设计的新方法。该FIR滤波器由多个乘法-累加器单元构成,实现正向转换器、并行算术通道和逆向转换器的功能。正向转换器将一个二进制数编码成一个关于模集的余数表示的数,每个算术通道对模集的每个模进行模乘和累加,逆向转换器将一个余数表示的数解码为其等效的二进制数,算术通道以完全并行的架构工作,从而实现轻量化的计算和简单的结构;最后的仿真实验结果不仅验证了本文提出的设计方法的有效性,而且相比于传统的单向转换设计,本文提出的设计方法有更小的滤波器系数偏差和更好的频率响应等波纹特性。