Anne Gowda A B

@svcengg.edu.in

Assistant Professor Electronics and Communication Engineering
Sri Venkateshwara College of Engineering

Anne Gowda A B


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https://researchid.co/annegowda.ece

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Electrical and Electronic Engineering
9

Scopus Publications

20

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Sparse Bayesian Least Squares Regression Model for Direction of Arrival Estimation in Massive MIMO Networks
    Anne Gowda Aleri Byregowda, Babu Nallur Venkateshappa, Puttamadappa Cheluvegowda
    Mathematical Modelling of Engineering Problems, 2025
    Massive multiple-input multiple-output (MIMO) antenna arrays pose significant challenges in terms of accuracy, efficiency and computational complexity in directionof-arrival (DOA) estimation, particularly in fifth-generation (5G) and beyond fifthgeneration (B5G) networks.Current DOA estimation methods, including cluster-based, spatial-temporal, and machine-learning approaches, struggle in dynamic and noisy environments, incurring inaccuracy in DOA estimation and substantial computational demands.To overcome these issues, this research work introduces a Sparse Bayesian Least Squares Regression (SBLSR) model designed explicitly for massive MIMO systems, which employs an advanced least squares regression technique.Unlike existing sparse Bayesian models or regression-based estimators, SBLSR introduces an adaptive probabilistic framework that iteratively adjusts regression weights for dynamic noise conditions, achieving near-Cramer-Rao lower bounds (CRLB) accuracy with significantly lower complexity.By combining Bayesian probabilistic modelling with least squares regression, the SBLSR significantly enhances estimation accuracy, particularly in environments with high levels of noise.Finally, the simulation results indicate that the proposed SBLSR method improves DOA estimation accuracy and reduces root mean square error (RMSE) values for various signal-to-noise ratio (SNR) limits when compared to existing approaches.
  • Accurate Direction of Arrival Estimation for 5G MIMO Sparse Channel Using Advanced Multikernel Based NNSBL
    Anne Gowda A B, Babu N V
    3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025, 2025
    Accurate estimation of the Direction of Arrival (DOA) in MIMO communication systems is essential for efficient signal analysis and noise cancellation, especially in challenging conditions. Traditional methods often struggle with computational inefficiencies and degraded performance in complex environments. This paper addresses these challenges by introducing an innovative approach that integrates antenna reconfiguration with an advanced Kernel-based Non-Negative Sparse Bayesian Learning (NNSBL) algorithm, applied to a predefined grid. The method leverages sparse representations and Bayesian principles, enhanced with multi-kernel techniques, to improve adaptability to the complexities of MIMO channels. Simulation results demonstrate that the proposed method achieves superior performance, particularly at high Signal-to-Noise Ratios (SNRs). RMSE values are reduced from 1.75 for conventional NNSBL to 1.43 for the advanced multi-kernel NNSBL at optimal configurations. Additionally, the spectral analysis shows sharper and more accurate peaks at higher SNR values (20 dB to 30 dB), with noticeable improvements in DOA pinpointing compared to traditional techniques. These findings highlight the method's capability to adapt effectively to complex MIMO channel dynamics, offering reliable and computationally efficient solutions tailored to modern 5G wireless communication systems.
  • A Comprehensive Survey on Subspace-based Direction of Arrival Estimation Algorithms: Performance, Accuracy and Complexity Analysis
    A B Anne Gowda, N V Babu, N Anughna, J J Jijesh
    Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems Ickecs 2025, 2025
    Direction of Arrival (DOA) estimation is a critical problem in array signal processing, with applications in radar, wireless communications, and sonar systems. Subspace-based algorithms, such as MUSIC, R-MUSIC, and ESPRIT, have gained prominence due to their high-resolution capabilities and robustness against noise. This paper presents a comprehensive survey of these algorithms, focusing on their theoretical foundations, computational complexity, and estimation accuracy under different Signal-to-Noise Ratio (SNR) conditions. A comparative analysis is performed using a uniform linear array (ULA) with 30 elements and 500 snapshots, evaluating the root mean square error (RMSE) and computational operations required for each algorithm. Results indicate that R-MUSIC achieves the highest accuracy at the cost of increased complexity, while ESPRIT offers significant computational efficiency with slightly reduced accuracy. The study offers insights into algorithm selection for real-world applications, striking a balance between precision and computational feasibility in subspace-based DOA estimation techniques.
  • Enhancing Image Dehazing Efficiency with Dual Colour Space Attentional Deep Networks
    Ashwini A M, Anne Gowda A B, Sridevi N, Nanditha Krishna, Babu N V, Anil Kumar D
    International Journal of Sensors Wireless Communications and Control, 2025
    Aims and Background: Image dehazing is an essential task in computer-vision, aimed at enhancing the clarity and visibility of images degraded by fog and haze. Traditional methods often struggle with handling the complex scattering effects of haze and maintaining the natural colours of the scene. Objectives and Methodology: To address these challenges, we propose a novel approach termed Dual Colour Space Attentional Deep Network (DCSADN) for efficient image dehazing. Our method leverages the advantages of two-colour spaces: RGB and YCbCr, to boost the network's skill to capture both the luminance and chrominance information, thereby improving the dehazing performance. We employ a multi-stage training strategy to optimize the performance of the DCSADN. This multi-stage approach ensures that the network generalizes well across different types of haze conditions. Extensive experiments demonstrate the superiority of our method over state-of-the-art dehazing techniques. Results: The results indicate that our approach not only achieves higher quantitative scores in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) but also produces dehazed images with more natural colours and details. Conclusion: The findings reveal that the dual colour space processing and attentional modules are crucial for the enhanced performance of our method and providing a valuable tool for improving image quality in hazy conditions.
  • IoT-Enabled Short Circuit Protection and Predictive Maintenance System for Smart EV Charging Stations
    Jijesh. J J, Vineeth Kumar. P K, Anne Gowda. A B, Ramya. P, Keerthana Pavithra Shree. P, Manasa. N
    International Conference on Software Systems and Information Technology Ssitcon 2025, 2025
  • A Novel Gabor Filtering and Adaptive Histogram Equalization Method for Improving Images
    Anne Gowda A B, Nataraja N, Santosh Kumar S, Sunil Kumar K N, Satya Srikanth Palle
    International Journal on Recent and Innovation Trends in Computing and Communication, 2023
    The correct information may only sometimes be effectively conveyed by images due to various factors, such as excessively bright or dark lighting and low or high contrast. As a result, picture improvement has become an essential part of digital image processing. This proposed method aims to develop an algorithm for improving photos captured in dark environments. This letter presents a new picture-enhancing approach that combines median and Gabor filtering using the wavelet domain with histogram equalization working over a spatial domain. The proposed method in this paper combines spatial and transformed domains for image enhancement and has been simulated using MATLAB. The simulation results of two different photos show that the suggested approach extends the histogram over a wide range of grayscale, offering a superior improvement to the original image. The novel proposed algorithm aims to improve image quality and visibility, making identifying essential details within the image easier. Further, the proposed technique's success is manifested by examining the produced photos' contrast and brightness. The findings reveal that the suggested technique beats the other strategies for improving low-contrast photos.
  • An image enhancement method based on gabor filtering in wavelet domain and adaptive histogram equalization
    Jeevan K M, Anne Gowda A B, Padmaja Vijay Kumar
    Indonesian Journal of Electrical Engineering and Computer Science, 2021
    <p><span>The images are not always good enough to convey the proper information. The image may be very bright or very dark sometime or it may be low contrast or high contrast. Because of these reasons image enhancement plays important role in digital image processing. In this paper we proposed an image enhancement technique in which Gabor and median filtering is performed in wavelet domain and Adaptive Histogram Equalization is performed in spatial domain. Brightness and contrast are the two parameters used for analyzing the performance of the proposed method</span></p>
  • WAVELET THRESHOLDING BASED DE-NOISING TECHNIQUE FOR COLOR IMAGE
    Arpn Journal of Engineering and Applied Sciences, 2020
  • Centroiding and connected component labeling for radar images using image processing algorithms
    Ramesha M, Sridhara S.B, Anughna N, Anne Gowda A B, Veeresh Patil
    Proceedings of the International Conference on Smart Technologies in Computing Electrical and Electronics Icstcee 2020, 2020
    The main objective of this paper is to identify centroids for the given image using connected component labeling technique. Imaging radars are used to acquire the images of the required target and it produces 2D images. The imaging radar used here is wall penetrating radar which explores the targets behind the wall. The images obtained from this imaging radar are subjected to some processes like thresholding and filtering in order to improve the image characteristics. The region of interest is then defined using a technique called connected component labeling where the image is scanned and the pixels grouped into components based on pixel connectivity. All the pixels in the connected component of an image exhibit same pixel intensity values which are connected together. When all the groups in an image have been identified then each pixel will be labeled with a gray level or color labeling based on the component it was specified. Finally, these individually identified objects are located with centroid, these centroids show the presence of the targets. The main goal is to remove noise/clutters in an image in an efficient manner and to locate individual object in an image by a single point called centroid.

RECENT SCHOLAR PUBLICATIONS

  • IoT-Enabled Short Circuit Protection and Predictive Maintenance System for Smart EV Charging Stations
    J JJ, VK PK, AG AB
    2025 2nd International Conference on Software, Systems and Information … , 2025
    2025.0
  • Sparse Bayesian Least Squares Regression Model for Direction of Arrival Estimation in Massive MIMO Networks.
    AGA Byregowda, BN Venkateshappa, P Cheluvegowda
    Mathematical Modelling of Engineering Problems 12 (7) , 2025
    2025.0
    Citations: 1
  • A Comprehensive Survey on Subspace-based Direction of Arrival Estimation Algorithms: Performance, Accuracy and Complexity Analysis
    DJJJ Anne Gowda A B, Dr Babu N V, Anughna N
    2025 International Conference on Knowledge Engineering and Communication … , 2025
    2025.0
    Citations: 3
  • Accurate Direction of Arrival Estimation for 5G MIMO Sparse Channel Using Advanced Multikernel Based NNSBL
    AG AB, NV Babu
    2025 3rd International Conference on Integrated Circuits and Communication … , 2025
    2025.0
    Citations: 2
  • Enhancing Image Dehazing Efficiency with Dual Colour Space Attentional Deep Networks
    AM Ashwini, AG AB, N Sridevi, N Krishna, NV Babu, A Kumar
    International Journal of Sensors, Wireless Communications and Control , 2024
    2024.0
    Citations: 1
  • Comparative analysis of edge detection image processing techniques for efficient traffic signal management system
    JJJ Niranjana Chandrasekara Bharathy, Manju Shivanna Dasappanavar, Anne ...
    Indonesian Journal of Electrical Engineering and Computer Science , 2024
    2024.0
  • A Novel Gabor Filtering and Adaptive Histogram Equalization Method for Improving Images
    SSP Anne Gowda A B , Nataraja N , Santosh Kumar S , Sunil Kumar K N
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023.0
    Citations: 2
  • An image enhancement based on gabor filtering in wavelet domain and adaptive histogram equalization
    PVK Jeevan K M, Anne Gowda A B
    Indonesian Journal of Electrical Engineering and Computer Science 21 (2502 … , 2021
    2021.0
    Citations: 7
  • WAVELET THRESHOLDING BASED DE-NOISING TECHNIQUE FOR COLOR IMAGE
    MR Jeevan K M, Anne Gowda A B
    ARPN Journal of Engineering and Applied Sciences 15 (NO. 24), 3034-3038 , 2020
    2020.0
  • Centroiding and connected component labeling for radar images using image processing algorithms
    M Ramesha, SB Sridhara, N Anughna, AB Anne Gowda
    2020 International Conference on Smart Technologies in Computing, Electrical … , 2020
    2020.0
    Citations: 2
  • Design and Development of Low Power BTED Cryptography Algorithm on FPGA
    BG Ramesha M, Sridhara S B, Anne Gowda A B, Anughna N
    International Journal of Advanced Trends in Computer Science and Engineering … , 2020
    2020.0
  • IOT Based Smart Parking Platform
    CS Ramesha M, Anne Gowda A B, Anughna N
    International Journal of Recent Technology and Engineering 8 (5), 4628-4632 , 2020
    2020.0
  • Performance analysis of image processing in hexagonal grid based on image compression,denoising and stegnography.
    SKK Jeevan K M, Padmaja V K, Anne Gowda A B
    International Journal of Engineering and Advanced Technology(IJEAT) 9 (1S6 … , 2019
    2019.0
  • Performance analysis of image processing in hexagonal grid based on image compression, denoising and steganography
    KM Jeevan, VK Padmaja, ABA Gowda, S Krishnakumar
    Int. J. Engin. Adv. Techn.(IJEAT) 9 (1S6), 26-31 , 2019
    2019.0
    Citations: 2
  • Comprehensive Survey on Advancements and Challenges in Direction-of-Arrival Estimation for MIMO Systems
    A Gowda, NV Babu
  • Hand gesture controlled robot car
    B KUMAR, A REDDY, A GOWDA

MOST CITED SCHOLAR PUBLICATIONS

  • An image enhancement based on gabor filtering in wavelet domain and adaptive histogram equalization
    PVK Jeevan K M, Anne Gowda A B
    Indonesian Journal of Electrical Engineering and Computer Science 21 (2502 … , 2021
    2021.0
    Citations: 7
  • A Comprehensive Survey on Subspace-based Direction of Arrival Estimation Algorithms: Performance, Accuracy and Complexity Analysis
    DJJJ Anne Gowda A B, Dr Babu N V, Anughna N
    2025 International Conference on Knowledge Engineering and Communication … , 2025
    2025.0
    Citations: 3
  • Accurate Direction of Arrival Estimation for 5G MIMO Sparse Channel Using Advanced Multikernel Based NNSBL
    AG AB, NV Babu
    2025 3rd International Conference on Integrated Circuits and Communication … , 2025
    2025.0
    Citations: 2
  • A Novel Gabor Filtering and Adaptive Histogram Equalization Method for Improving Images
    SSP Anne Gowda A B , Nataraja N , Santosh Kumar S , Sunil Kumar K N
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023.0
    Citations: 2
  • Centroiding and connected component labeling for radar images using image processing algorithms
    M Ramesha, SB Sridhara, N Anughna, AB Anne Gowda
    2020 International Conference on Smart Technologies in Computing, Electrical … , 2020
    2020.0
    Citations: 2
  • Performance analysis of image processing in hexagonal grid based on image compression, denoising and steganography
    KM Jeevan, VK Padmaja, ABA Gowda, S Krishnakumar
    Int. J. Engin. Adv. Techn.(IJEAT) 9 (1S6), 26-31 , 2019
    2019.0
    Citations: 2
  • Sparse Bayesian Least Squares Regression Model for Direction of Arrival Estimation in Massive MIMO Networks.
    AGA Byregowda, BN Venkateshappa, P Cheluvegowda
    Mathematical Modelling of Engineering Problems 12 (7) , 2025
    2025.0
    Citations: 1
  • Enhancing Image Dehazing Efficiency with Dual Colour Space Attentional Deep Networks
    AM Ashwini, AG AB, N Sridevi, N Krishna, NV Babu, A Kumar
    International Journal of Sensors, Wireless Communications and Control , 2024
    2024.0
    Citations: 1
  • IoT-Enabled Short Circuit Protection and Predictive Maintenance System for Smart EV Charging Stations
    J JJ, VK PK, AG AB
    2025 2nd International Conference on Software, Systems and Information … , 2025
    2025.0
  • Comparative analysis of edge detection image processing techniques for efficient traffic signal management system
    JJJ Niranjana Chandrasekara Bharathy, Manju Shivanna Dasappanavar, Anne ...
    Indonesian Journal of Electrical Engineering and Computer Science , 2024
    2024.0
  • WAVELET THRESHOLDING BASED DE-NOISING TECHNIQUE FOR COLOR IMAGE
    MR Jeevan K M, Anne Gowda A B
    ARPN Journal of Engineering and Applied Sciences 15 (NO. 24), 3034-3038 , 2020
    2020.0
  • Design and Development of Low Power BTED Cryptography Algorithm on FPGA
    BG Ramesha M, Sridhara S B, Anne Gowda A B, Anughna N
    International Journal of Advanced Trends in Computer Science and Engineering … , 2020
    2020.0
  • IOT Based Smart Parking Platform
    CS Ramesha M, Anne Gowda A B, Anughna N
    International Journal of Recent Technology and Engineering 8 (5), 4628-4632 , 2020
    2020.0
  • Performance analysis of image processing in hexagonal grid based on image compression,denoising and stegnography.
    SKK Jeevan K M, Padmaja V K, Anne Gowda A B
    International Journal of Engineering and Advanced Technology(IJEAT) 9 (1S6 … , 2019
    2019.0
  • Comprehensive Survey on Advancements and Challenges in Direction-of-Arrival Estimation for MIMO Systems
    A Gowda, NV Babu
  • Hand gesture controlled robot car
    B KUMAR, A REDDY, A GOWDA