scholarly journals A High-Performance FIR filter Architecture for Reconfigurable Applications

2019 ◽  
pp. 420-424
Author(s):  
R. Yerriswamy ◽  
D. Vishnu Vardhan ◽  
Sankar Lal Sharma
Keyword(s):  
High Performance ◽  
Finite Impulse Response ◽  
Fir Filter ◽  
Flow Diagram ◽  
Fir Filters ◽  
Significant Saving ◽  
Project Analysis ◽  
Complex Design ◽  
Direct Form ◽  
Filter Architecture

Transpose form finite-impulse response (FIR) filters are characteristically pipelined and support multiple constant multiplications (MCM) procedure that results in significant saving of calculation. However, transpose form configuration does not specifically support the block performing not like direct-form configuration. In this paper, we investigate the possibility of realization of block FIR filter in transpose shape configuration for area-delay efficient realization of huge order FIR filters for both fixed applications. Based on a detailed computational investigation of transpose form configuration of FIR filter, we have derived a flow diagram for transpose shape block FIR filter with reduced register complexity. A detailed block formulation is detailed for transpose form FIR filter. We have inferred a general multiplier-based architecture for the proposed transpose form block filter for reconfigurable applications. A reduced-complex design using multiple constant multiplications scheme is also showed for block implementation of fixed FIR filters. The proposed architecture obtains less area, less delay and less power consumption compared with the existing architecture of direct form structure for medium or long filter lengths. For this project analysis for determining area, power and delay it uses Xilinx.

Efficient FIR Filter Architecture using FPGA

2020 ◽  
Vol 13 (1) ◽  
pp. 91-98
Author(s):  
Ahmed K. Jameil ◽  
Yassir A. Ahmed ◽  
Saad Albawi
Keyword(s):  
Low Power ◽  
Communication Systems ◽  
High Performance ◽  
Finite Impulse Response ◽  
Low Complexity ◽  
Fir Filter ◽  
Fir Filters ◽  
Filter Architecture ◽  
Circuit Techniques ◽  
And Performance

Background: Advance communication systems require new techniques for FIR filters with resource efficiency in terms of high performance and low power consumption. Lowcomplexity architectures are required by FIR filters for implementation in field programmable gate Arrays (FPGA). In addition, FIR filters in multistandard wireless communication systems must have low complexity and be reconfigurable. The coefficient multipliers of FIR filters are complicated. Objective: The implementation and application of high tap FIR filters by a partial product reduce this complexity. Thus, this article proposes a novel digital finite impulse response (FIR) filter architecture with FPGA. Method: The proposed technique FIR filter is based on a new architecture method and implemented using the Quartus II design suite manufactured by Altera. Also, the proposed architecture is coded in Verilog HDL and the code developed from the proposed architecture has been simulated using Modelsim. This efficient FIR filter architecture is based on the shift and add method. Efficient circuit techniques are used to further improve power and performance. In addition, the proposed architecture achieves better hardware requirements as multipliers are reduced. A 10-tap FIR filter is implemented on the proposed architecture. Results: The design’s example demonstrates a 25% reduction in resource usage compared to existing reconfigurable architectures with FPGA synthesis. In addition, the speed of the proposed architecture is 37% faster than the best performance of existing methods. Conclusion: The proposed architecture offers low power and improved speed with the lowcomplexity design that gives the best architecture FIR filter for both reconfigurable and fixed applications.

scholarly journals Constant-coefficient FIR filters based on residue number system arithmetic

2012 ◽  
Vol 9 (3) ◽  
pp. 325-342 ◽  
Author(s):  
Negovan Stamenkovic ◽  
Vladica Stojanovic
Keyword(s):  
Power Dissipation ◽  
High Speed ◽  
Finite Impulse Response ◽  
Number System ◽  
Residue Number System ◽  
Fir Filter ◽  
Fir Filters ◽  
Residue Number ◽  
Low Power Dissipation ◽  
Residue Arithmetic

In this paper, the design of a Finite Impulse Response (FIR) filter based on the residue number system (RNS) is presented. We chose to implement it in the (RNS), because the RNS offers high speed and low power dissipation. This architecture is based on the single RNS multiplier-accumulator (MAC) unit. The three moduli set {2n+1,2n,2n-1}, which avoids 2n+1 modulus, is used to design FIR filter. A numerical example illustrates the principles of residue encoding, residue arithmetic, and residue decoding for FIR filters.

scholarly journals FIR Filter Design using Finfets at 22nm Technology

2019 ◽  
Vol 9 (2) ◽  
pp. 1292-1295
Keyword(s):  
Video Processing ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Fir Filter ◽  
Fir Filters ◽  
Short Channel ◽  
Channel Effects ◽  
Complex Circuits ◽  
Fir Filter Design

Finite Impulse Response (FIR) filters are the most significantdevice in digital signal processing.In many Digital Signal Processing applications like wireless communication, image and video processing FIR filters are used.Digital FIR filters primarily consists of multipliers, adders and delay elements. Area, power optimization and speed are the key design metrics of FiniteImpulse Response filter.As more electronic devices are battery operated, power consumption constraint becomes a major issue. Multipliers are the core of FIR filters. They consume a lot of energy and are generally complex circuits. With each new process technologies, the short channel effects limit the performance of FIR filters at nano regime. Various architectures have been proposed to enhance the performance of FIR filter. In this paper, FIR filter is designed using FINFETs at 22nm technology using Hspice software.

scholarly journals DESIGN OF HIGH PERFORMANCE MULTIPLIERLESS LINEAR PHASE FINITE IMPULSE RESPONSE FILTERS

2017 ◽  
Vol 10 (13) ◽  
pp. 66
Author(s):  
A Aparna ◽  
T Vigneswaran
Keyword(s):  
Low Power ◽  
Impulse Response ◽  
High Speed ◽  
High Performance ◽  
Finite Impulse Response ◽  
Research Work ◽  
Digital Signal ◽  
Fir Filter ◽  
Pass Filter ◽  
Finite Impulse Response Filters

This research work proposes the finite impulse response (FIR) filters design using distributed arithmetic architecture optimized for field programmable gate array. To implement computationally efficient, low power, high-speed FIR filter a two-dimensional fully pipelined structure is used. The FIR filter is dynamically reconfigured to realize low pass and high pass filter by changing the filter coefficients. The FIR filter is most fundamental components in digital signal processing for high-speed application. The aim of this research work is to design multiplier-less FIR filter for the requirements of low power and high speed various embedded applications. 

scholarly journals Design and Implementation of Hybrid FIR Filters using Vedic Multiplier and Fast Adders

2019 ◽  
Vol 8 (4) ◽  
pp. 11849-11853
Keyword(s):  
High Speed ◽  
High Performance ◽  
Noise Suppression ◽  
Finite Impulse Response ◽  
Digital Signal ◽  
Fir Filter ◽  
Vital Role ◽  
Finite Impulse Response Filters ◽  
Vedic Multiplier ◽  
Impulse Response Filters

FIR (Finite Impulse Response) filters play a significant role in the field of Digital Signal Processing (DSP) to eliminate noise suppression in Electro Cardio Graph (ECG), Imaging devices and the signal stored in analog media. So filter evaluation is accomplished to reduce the noise level. The Filter passes only the desired frequency to pass thereby reducing distortion in the processed signal during measurement. The FIR filter comprises of basic units like adders, multipliers and the delay element for its operations.FIR and IIR are the two types of digital filters chosen based on the range of inputs, complexity and size requirement. Multipliers and adders play a vital role in deterring the performance of FIR filter. In this work, we design and analyze different multiplier and adder for high-performance Fir filter implementation. The Vedic Mathematics is the methods containing 16 Sutras to aid fast mental calculations. In this work, we propose modified Anurupye Vedic multiplier methods with Kogge Stone fast adder for implementation in the direct form FIR filter. This approach provides 1.5% decrease in delay and 10.2% reduced in power, hence increasing speed marginally than previous methods. Along with low power consumption in Very High-Speed Hardware Description Language (VHDL), all the adders and the multiplier topologies are Synthesized using (Xilinx Spartan – 6 FPGA) Trainer Kit and the proposed 8 – Tap FIR filter is executed using this Board

scholarly journals VLSI Implementation of Digital Filter using Novel RTSD Adder and Booth Multiplier

2020 ◽  
Vol 9 (3) ◽  
pp. 4131-4139
Keyword(s):  
Impulse Response ◽  
Filter Design ◽  
Finite Impulse Response ◽  
Fir Filter ◽  
Fir Filters ◽  
Binary Digit ◽  
Booth Multiplier ◽  
Speed Optimization ◽  
Fir Filter Design ◽  
Convolution Equations

Finite Impulse Response (FIR) filters are most important element in signal processing and communication. Area and speed optimization are the essential necessities of FIR filter design. This work looks at the design of Finite Impulse Response (FIR) filters from an arithmetic perspective. Since the fundamental arithmetic operations in the convolution equations are addition and multiplication, they are the objectives of the design analysis. For multiplication, Booth encoding is utilized in order to lessen the quantity of partial products. Consequently, considering carry-propagation free addition strategies should improve the addition operation of the filter. The redundant ternary signed-digit (RTSD) number framework is utilized to speedup addition in the filter. The redundant ternary representation utilizes more bits than required to denote the single binary digit because of which most numbers have several representations. This special behavior of RTSD allows the addition along with the absence of typical carry propagation. Xilinx ISE design suite 14.5 is used for the design and validation of proposed method. From the implementation result, the proposed design of FIR filter is compared with other conventional techniques to show the better performance by means of power, area and delay.

Dynamic Partial Reconfiguration with FIR Filter Application

2015 ◽  
Vol 4 (3) ◽  
pp. 201
Author(s):  
Noopur Astik
Keyword(s):  
Finite Impulse Response ◽  
Digital Signal ◽  
Fir Filter ◽  
Partial Reconfiguration ◽  
Dynamic Partial Reconfiguration ◽  
Pass Filter ◽  
Direct Form ◽  
Field Programmable ◽  
Low Pass ◽  
High Pass

Dynamic partial reconfiguration has evolved as a very prominent state of art for efficient area utilization of <em>Field Programmable Gate Array</em> (FPGA) as well as significant reduction in its overall power consumption when properly used to lessen the idle logic on FPGA. It provides desired results even as the computational complexity increases in the field of Digital Signal Processing. This paper explains Dynamic Partial Reconfiguration (DPR) with an example of Finite Impulse response (FIR) filter of order 10. Initially RTL coding for Direct Form FIR structure is written in Verilog in fixed point format for low pass and high pass filter modules using ISE Design suite. Functioning of the both the modules is verified individually through hardware co-simulation on ZYBO (Zynq Board) from Digilent using Black Box from System Generator. Finally dynamic partial reconfigurable FIR filter with low pass and high pass as reconfigurable modules is implemented on ZYBO using PlanAhead tool. Final comparison of resource utilization with and without DPR is presented

scholarly journals FPGA Implementation of Higher Order FIR Filter

2017 ◽  
Vol 7 (4) ◽  
pp. 1874 ◽  
Author(s):  
Gurpadam Singh ◽  
Neelam R. Prakash
Keyword(s):  
Finite Impulse Response ◽  
Digital Signal ◽  
Fir Filter ◽  
Higher Order ◽  
Fir Filters ◽  
Chip Area ◽  
Fpga Chip ◽  
Area Occupation ◽  
Main Components ◽  
Digital Fir Filters

The digital Finite-Impulse-Response (FIR) filters are mainly employed in digital signal processing applications. The main components of digital FIR filters designed on FPGAs are the register bank to save the samples of signals, adder to implement sum operations and multiplier for multiplication of filter coefficients to signal samples. Although, design and implementation of digital FIR filters seem simple but the design bottleneck is multiplier block for speed, power consumption and FPGA chip area occupation. The multipliers are an integral part in FIR structures and these use a large part of the chip area. This limits the number of processing elements (PE) available on the chip to realize a higher order of filter. A model is developed in the Matlab/Simulink environment to investigate the performance of the desired higher order FIR filter. An equivalent FIR filter representation is designed by the Xilinx FIR Compiler by using the exported FIR filter coefficients. The Xilinx implementation flow is completed with the help of Xilinx ISE 14.5. It is observed how the use of higher order FIR filter impacts the resource utilization of the FPGA and it’s the maximum operating frequency.

scholarly journals Digital FIR filter architecture based on the residue number system

2009 ◽  
Vol 22 (1) ◽  
pp. 125-140 ◽  
Author(s):  
Negovan Stamenkovic
Keyword(s):  
High Speed ◽  
Direct Synthesis ◽  
Number System ◽  
Residue Number System ◽  
Fir Filter ◽  
Fir Filters ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Filter Architecture ◽  
Residue Number

In this paper, architecture of residue number system used in FIR filters, is presented. For many years residue number coding has been recognized as a system which provides capability for implementation of a high speed addition and multiplication. These advantages of residue number system coding for the high speed FIR filters design results from the fact that an digital FIR filter requires only addition and multiplication. The proposed FIR filter architecture is performed as series of modulo multiplication and accumulation across each modulo. A numerical example illustrates the principles of FIR filtering of an 32 order low pass filter. This architecture is compared with FIR filters direct synthesis. .

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