Conventional and Subspace Algorithms for Mobile Source Detection and Radiation Formation

Thazeen, Sadiya; Mallikarjunaswamy, S; Siddesh, G. K.; Sharmila, N.

doi:10.18280/ts.380114

Cited by 28 publications

(18 citation statements)

References 47 publications

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“…It is understood that the complication of resources in this method is confined by the quantity of obtainable cancelling pulse generators and the generators in top part of Figure 4 which has greater possibility to be utilized when the cancelling pulse generators in the foot could be sluggish many of the time [30], [31]. Hence few negotiations would be essential in order to find the quantity of how much cancelling pulse generators are actually utilized [32]- [34].…”

Section: Proposed Peak Cancellation Execution Methodsmentioning

confidence: 99%

An efficient reconfigurable peak cancellation model for peak to average power ratio reduction in orthogonal frequency division multiplexing communication system

Rathod

Ramaswamy

Mallikarjunaswamy

et al. 2022

IJECE

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<span lang="EN-US">The peak to average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) communication system will be reduced using reconfigurable peak cancellation (RPC). RPC will also aid in improves the error vector magnitude (EVM) and reduces adjacent channel leakage ratio (ACLR) in OFDM communication system. The proposed RPC design methodology and practical implementation using field programmable gate array (FPGA) are discussed. The proposed RPC has been demonstrated using VIRTEX-7 XC7Z100 dual-core FPGA device with less hardware difficulty and minimum utilization of FPGA resources. The proposed RPC improves the efficiency of OFDM communication process by reducing complementary cumulative distribution function (CCDF) with respect to instantaneous power in dB. A comparison analysis was done between the existing selective mapping (SLM) method with proposed RPS method with respect FPGA resource utilization. The proposed RPC is implemented using VIRTEX-7 XC7Z100 dual-core FPGA device. Its effectively utilizing sub-carriers, fast Fourier transform (FFT) filter, bandwidth, and sampling frequency. Due to parallel switching operation, it reduces the PAPR, ACLR and improves EVM in OFDM signal with less hardware complexity.</span>

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Section: Proposed Peak Cancellation Execution Methodsmentioning

confidence: 99%

An efficient reconfigurable peak cancellation model for peak to average power ratio reduction in orthogonal frequency division multiplexing communication system

Rathod

Ramaswamy

Mallikarjunaswamy

et al. 2022

IJECE

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“…Thazeen et al [22] compares the various kinds of geographic routing protocols like routing of location aided and routing of energy aware geographic on performance metrics that is end to end delay, utilization of energy with the help of the simulation tool NS2, pascket delivery ratio. When the topology varies dynamically and mobility is high, the authors determined that geographic routing provides a higher packet delivery ratio, better energy consumption, and longer network life than other protocols.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comprehensive Review of Geographic Routing Protocols in Wireless Sensor Network

Pandith¹,

Ramaswamy²,

Srikantaswamy³

et al. 2023

IDA

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To analyses the impact of high mobility, dynamic topologies, scalability and routing due to the more dynamic changes in network. To enhance mobile Ad-hoc network (MANET) self-organization capabilities by geographical routing algorithm during mobility. In this paper, a survey has been carried out on geographic routing protocols, such as hybrid routing, Greedy Routing, face-2 Algorithm, Perimeter Routing, quasi random deployment (QRD) techniques and time of arrival (TOA). An optimized multipath routing in wireless sensor network (WSN), energy utilization, detection of anonymous routing, node mobility prediction, data packet distribution strategies in WSN is analyzed. Geographic routing offers previous data packet information such as physical locations, packet elimination dependencies, storage capacity of topology, Associate costs and also identifies the dynamic behavior of nodes with respect to packets frequencies.

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“…In which A (ω), B(ω) , H f (ω) represents the frequency domain equivalent of the restored image, captured blurred image and the blur function (PSF) respectively (28)(29)(30)(31)(32) . As the L2 regularization will not conduct any denoising, in order to eliminate noise more frequencies in a blurred picture can be penalized by using Sobolev prior.…”

Section: Tikhonov and Sobolev Priorsmentioning

confidence: 99%

Adaptive Sparsity through Hybrid Regularization for Effective Image Deblurring

S¹,

Mallikarjunaswamy²,

Sharmila³

2021

IJST

Self Cite

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Objectives: To develop image deblurring algorithm to effectively recover the original image from the captured blurry and noisy image. Methods: A novel image deblurring algorithm using adaptive priors is proposed. The adaptive priors vary the sparsity induced based on factors such as the type of blur affecting the image, image region, statistical parameters regarding the blur kernel and/or statistical predictions on the blur kernel. The proposed algorithm using adaptive priors improves the quality of the deblurred result, when compared with various recent image deblurring algorithms. Finding: the work contains a case study with regard to certain standard parameters. It is observed that proposed method is better in terms of frequency response, Peak signal-tonoise ratio (PSNR) and Structural Similarity Index (SSIM) values in comparison with other priors. Novelty: the proposed priors lead to the most effective results for image deblurring using the Bayesian framework. The proposed method improves the performance by 30% in PSNR and 45% in SSIM values in dB with uniform kernel size 12 * 12 and improves performance by 30 % in PSNR and 32% SSIM with a standard deviation of 3.5. The proposed method enhances the frequency response of the real-time image restoration process. Applications: Some important applications include the restoration of medical images such as MRI images, CT images where the intensity of these radiations is maintained to avoid damage to human organs. Remote sensing images captured through drones at a specified time cannot be retaken and hence restoring such images is very important. Similarly restoring images from CCTV footage, astronomical images.

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Conventional and Subspace Algorithms for Mobile Source Detection and Radiation Formation

Cited by 28 publications

References 47 publications

An efficient reconfigurable peak cancellation model for peak to average power ratio reduction in orthogonal frequency division multiplexing communication system

An efficient reconfigurable peak cancellation model for peak to average power ratio reduction in orthogonal frequency division multiplexing communication system

A Comprehensive Review of Geographic Routing Protocols in Wireless Sensor Network

Adaptive Sparsity through Hybrid Regularization for Effective Image Deblurring

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