VLSI implementation of fast convolution

Katkar, Pankaj; Sridhar, T.; Sharath, G M; Sivanantham, S.; Sivasankaran, K.

doi:10.1109/get.2015.7453771

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…After the elementary input signals are taken into consideration then it is given to the system individually. Now apply linearity property to the decomposed input signal and obtain the output response and it is simply added and this should afford us the total response of the system to any other given input signal [1]. iii.…”

Section: Linear Convolution Sum Methodsmentioning

confidence: 99%

“…Mathematically, combining two signals to generate a third signal is called 'Convolution' [5]. For the processing of images, audio and video signals of complex mathematical computations are required, that consumes a lot of memory and increase the design complexity [1]. This limitation can be overcome with the help of linear convolution where it can solve the complex computations in relatively simple mathematical steps [7].…”

Section: Introductionmentioning

confidence: 99%

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Implementation of Fast Convolution using Robust Vedic Multiplier of Radix-2

Paradhasaradhi¹,

Haridhar²,

.³

et al. 2018

IJET

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Convolution is an algorithm which is mainly used in video, audio and image processing. Convolution calculation is simple in steps however it consumes a lot of memory as well as power in the computational process. It is a mathematical algorithm which is also used in the applications like filtering, edge detection, de-noising, compression etc., as it can be exploit computational power. In this paper, we implemented the speed of discrete linear convolution using robust Vedic multiplier which is one of the fastest multipliers with two finite-length sequences. By implementing convolution with Vedic multiplier power, area and delay are reduced. This implementation process can be realized by simplifying the convolution building block.

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Section: Linear Convolution Sum Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of Fast Convolution using Robust Vedic Multiplier of Radix-2

Paradhasaradhi¹,

Haridhar²,

.³

et al. 2018

IJET

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“…f is the input and g is the filter function. Equation ( 2 ) explains the convolution operation for discrete time signals [ 37 ].

where x and h are two discrete time signals involved in convolution.…”

Section: Proposed Systemmentioning

confidence: 99%

A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework

Ramalingam

Yin

Elara

et al. 2020

Sensors

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The role of mobile robots for cleaning and sanitation purposes is increasing worldwide. Disinfection and hygiene are two integral parts of any safe indoor environment, and these factors become more critical in COVID-19-like pandemic situations. Door handles are highly sensitive contact points that are prone to be contamination. Automation of the door-handle cleaning task is not only important for ensuring safety, but also to improve efficiency. This work proposes an AI-enabled framework for automating cleaning tasks through a Human Support Robot (HSR). The overall cleaning process involves mobile base motion, door-handle detection, and control of the HSR manipulator for the completion of the cleaning tasks. The detection part exploits a deep-learning technique to classify the image space, and provides a set of coordinates for the robot. The cooperative control between the spraying and wiping is developed in the Robotic Operating System. The control module uses the information obtained from the detection module to generate a task/operational space for the robot, along with evaluating the desired position to actuate the manipulators. The complete strategy is validated through numerical simulations, and experiments on a Toyota HSR platform.

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Fast Convolution Algorithm for Real-Valued Finite Length Sequences

Wang

DeBrunner

2023

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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VLSI implementation of fast convolution

Cited by 3 publications

References 6 publications

Implementation of Fast Convolution using Robust Vedic Multiplier of Radix-2

Implementation of Fast Convolution using Robust Vedic Multiplier of Radix-2

A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework

Fast Convolution Algorithm for Real-Valued Finite Length Sequences

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