WITHDRAWN: An Optimistic Design of 16-Tap FIR Filter with Radix-4 Booth Multiplier Using Improved Booth Recoding Algorithm

Sakthimohan., M; Deny, J.

doi:10.1016/j.micpro.2020.103453

Cited by 19 publications

(7 citation statements)

References 23 publications

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“…The efficiency of the proposed method is calculated by performance metrics like area, delay, and power utilization. Finally, the performance of the proposed filter design is analyzed with existing methods, like DA based adaptive FIR filter utilizing memory less distributed arithmetic with residual number system (DA-AFIR-MLDA-RNS), 21 DA based adaptive FIR filter utilizing hybrid canonically signed integer and approximate booth recode number (DA-AFIR-Hyb-CSD-ABR), 31 DA based adaptive FIR filter utilizing sum of signed-powers-of-two arithmetic with Matching Pursuits along Generalized Bit-Plane approach (DA-AFIR-SOPOT-MPGBP). 25 Performance metrics.-The performance metrics, like area, delay, power, speed, SNR and MSE are analysed for identifying the efficiency of the proposed model.…”

Section: Resultsmentioning

confidence: 99%

“…Performance evaluation by comparative analysis.-The efficiency of the proposed DA-AFIR-leadx-hybam-AC filter is analysed depending on area, delay, power, speed. Then the performance of the proposed filter is analysed with existing DA-AFIR-MLDA-RNS, 21 DA-AFIR-Hyb-CSD-ABR 31 DA-AFIR-SOPOT-MPGBP. 25 Figure 5 shows that the utilization of slices and slice register in the proposed filter compared with existing filters.…”

Section: Resultsmentioning

confidence: 99%

“…Performance measure.-The performance metrics of the proposed filter is examined under SNR, MSE, the performance is compared with DA-AFIR-Hyb-CSD-ABR method. 31 Calculation of SNR.-The calculation of SNR is defined as the ratio of input signal to the output signal that is expressed as the logarithmic scale, which is given in Eq. 21, Where mean square error, signal to noise ratio are determined for filtered signal.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Immareddy,

Sundaramoorthy,

Alagarsamy

2023

ECS J. Solid State Sci. Technol.

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Finite Impulse Response (FIR) filter contributes a major role in most of the signal processing applications. However, the Finite Impulse Response filter performance is restricted by its speed, power and area usage. To address these issues, an adaptive FIR filter design using approximate adder and Hybridizing (Radix-8 Booth and TRAM) Approximate Multiplier (DA-AFIR-leadx-hybam-AC) is proposed in this manuscript for eradicating the noise in the sensor nodes. Here, Low error together with area efficient approximate adder (leadx) is used for reducing path delay and area utilization. For approximate multiplier design, proposed Hybridizing (Radix-8 Booth and TRAM) Approximate Multiplier using 15–4 Approximate Compressors (hybam-AC) is used for decreasing power consumption and design complexity. The simulation of the proposed model is implemented in Verilog and the design is synthesized in FPGA utilizing Xilinx ISE 14.5. The proposed DA-AFIR-leadx-hybam-AC filter design attains 33.6%, 22.75%, 29.69% lower power and 43.58%, 11.3%, 33.07% lower delay than the existing approaches, like DA-AFIR-MLDA-RNS, DA-AFIR-Hyb-CSD-ABR, DA-AFIR-SOPOT-MPGBP. Finally, the proposed DA-AFIR-leadx-hybam-AC filter design is applied for noise removal application in sensor nodes. The proposed Filter is implemented in MATLAB/Simulink for reading input signal.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Immareddy,

Sundaramoorthy,

Alagarsamy

2023

ECS J. Solid State Sci. Technol.

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“…Pulse sensor which will find the bpm and stores the value, next the temperature sensor and the respiratory sensor will check the patients thermal and blood pressure rate indirectly by using mathematical model in code, whereas the fingerprint sensor calculates the absorption coefficient of blood glucose level, by cumulating all the obtained. Values the blood glucose level (Sakthimohan & Deny, 2020b).…”

Section: Methodsmentioning

confidence: 99%

Low-cost non-invasive smart bed system using medical devices embedded with IoT

Sakthimohan¹,

Rani²,

Deny³

et al. 2021

3C Tecnología

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“…CSLA and LCSLA methods were utilized in Radix-2 structure for including partial products. It provides lower speed with higher delay.Sakthimohan and Deny31 have presented an Optimistic Design of 16-Tap Finite impulse response with Radix-four Booth Multiplier Utilizing Improved Booth Recoding Procedure. The implementation of 16-Tap FIR Filter design was activated with Radix-4 Booth Multiplier utilizing Improved Booth Recoding Algorithm.…”

mentioning

confidence: 99%

Design of recustomize finite impulse response filter using truncation based scalable rounding approximate multiplier and error reduced carry prediction approximate adder for image processing application

Senthilkumar¹,

Pandi

Sripriya

et al. 2023

Concurrency and Computation

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Summary Recustomize finite impulse response (RFIR) filter is designed to achieve lesser power consume, cost, area, and higher speed of system operation. This is used to remove the noises from the image and signal. Previously, several filters were designed for removing noises, but that filters consume more area, power, cost, and delay and did not provide accurate results and the error rate was increased. To overcome these issues, this work is proposed. In this work, the Recustomize finite impulse response (RFIR) filter is designed using truncation‐based scalable rounding approximate multiplier (TOSAM) and error reduced carry prediction approximate adder (ERCPAA) for image processing application. Here, TOSAM‐ERCPAA is used to speed up the filter design with less area and less power consumption. The proposed ERCPAA adder is divided into three blocks, such as carry prediction logic, approximate full adder cells array, constant truncation along error lessening logic, which can reduce the power and area. The proposed RFIR‐ TOSAM‐ERCPAA filter is designed and executed in Verilog programming language and the simulation is done in Xilinx ISE 14.5 design tools.

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WITHDRAWN: An Optimistic Design of 16-Tap FIR Filter with Radix-4 Booth Multiplier Using Improved Booth Recoding Algorithm

Cited by 19 publications

References 23 publications

Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Adaptive FIR Filter Design with Approximate Adder and Hybridized Multiplier for Efficient Noise Eradication in Sensor Nodes

Low-cost non-invasive smart bed system using medical devices embedded with IoT

Design of recustomize finite impulse response filter using truncation based scalable rounding approximate multiplier and error reduced carry prediction approximate adder for image processing application

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