2015
DOI: 10.4236/cs.2015.62004
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Design and Implementation of Low-Pass, High-Pass and Band-Pass Finite Impulse Response (FIR) Filters Using FPGA

Abstract: This paper presents the design and implementation of a low-pass, high-pass and a hand-pass Finite Impulse Response (FIR) Filter using SPARTAN-6 Field Programmable Gate Array (FPGA) device. The filter performance is tested using Filter Design and Analysis (FDA) and FIR tools from Mathworks. The FDA Tool is used to define the filter order and coefficients, and the FIR tool is used for Simulink simulation. The FPGA implementation is carried out using Spartan-6 LX75T-3FGG676C for different filter specifications an… Show more

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Cited by 18 publications
(5 citation statements)
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“…In this case we use 34 of 4656 logic slices, not even 1% of the chip: this shows how effective and less resource usage is been achieve when implemented with FPGA. Below are some other benefits of using FPGA in this Stepper Motor implementation [11]. 1) Performance-The hardware parallelism nature of FPGAs exceed the computing power of digital signal processors (DSPs) by breaking the paradigm of sequential execution and accomplishing more per clock cycle .…”
Section: Resultsmentioning
confidence: 99%
“…In this case we use 34 of 4656 logic slices, not even 1% of the chip: this shows how effective and less resource usage is been achieve when implemented with FPGA. Below are some other benefits of using FPGA in this Stepper Motor implementation [11]. 1) Performance-The hardware parallelism nature of FPGAs exceed the computing power of digital signal processors (DSPs) by breaking the paradigm of sequential execution and accomplishing more per clock cycle .…”
Section: Resultsmentioning
confidence: 99%
“…In paper [11] design and implementation of low pass, high pass and band pass fir filter using Spartan -6 FPGA device. The EDA tool is used to define filter order and coefficients, FIR filter is used for simulink simulation.…”
Section: Iii-literature Surveymentioning
confidence: 99%
“…(e-mail: Vidyasaraswathi bit-bangalore.edu.in) @ @ @ Akarsha Yadav, Vijaya Prakash, and Vidya Saraswathi Design of Modified RNS-PPA Based FIR Filter for High-Speed Application process, a normal number or integer is broken down into small modules using a modulo set. For example, the moduli set is (7|8|9) and the inputs (X, Y) is equal to (10,15) respectively. Then the inputs X and Y are divided by these three co-prime numbers (7|8|9) and the result obtained was X1= (3|2|1), Y1= (1|7|6), where X1, Y1 are the RNS from a representation of input signals (X, Y).…”
Section: B Forward Conversionmentioning
confidence: 99%