pathan Aziz khan - Academia.edu (original) (raw)

Papers by pathan Aziz khan

Research paper thumbnail of Compressive Sensing Data with Partial Canonical Identity Matrix For Image and Video Reconstruction Using Lifting Wavelet

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020

This paper propose a combined structure in which lifting-based, distinguishable, picture coordina... more This paper propose a combined structure in which lifting-based, distinguishable, picture coordinated waveforms are evaluated as of compressively detected pictures and are utilized for the remaking of the equivalent. Coordinated wavelet can be effectively structured stipulation full picture is accessible. Likewise contrasted and the standard wavelets as scarifying basis, coordinated wavelet might give better reproduction brings about compressive detecting (CS) application. Since in CS application, we have compressively detected pictures rather than full pictures, existing strategies for planning coordinated wavelets can’t be utilized. In this way, we suggest a joint system that evaluations coordinated wavelets as of compressively detected pictures and furthermore remakes full pictures. This paper has three critical commitments. Initial, a lifting-based, image-matched separable wavelet is structured from compressively sensed pictures and is likewise used to reconstruct the equivalent....

Research paper thumbnail of Digital Image Processing in Medical Applications: A Case study

International journal of engineering research and technology, 2018

Research paper thumbnail of Implementing Secured and Effective Cloud-based Query Services with RASP Data Perturbation

The wild success of cloud data services bring the cloud commonplace for data to be not only store... more The wild success of cloud data services bring the cloud commonplace for data to be not only stored in the cloud, but also shared across multiple users. Using clouds to host data query services has become an fascinating solution for the advantages on scalability and cost-saving. However, Data owners show reluctance to share the sensitive and confidential data unless the Data integrity is guaranteed. On the other hand, a secured query service should still provide efficient query processing and significantly reduce the in-house workload to fully realize the benefits of cloud computing. We propose the random space perturbation (RASP) data perturbation method to provide secure and efficient range query and kNN query services for protected data in the cloud. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random noise injection, and random projection, to provide strong resilience to attacks on the perturbed data and queries. It also preser...

Research paper thumbnail of Data Detection with Fuzzy C-Means Based on Em Approach by Mimo System for Different Channel’s Estimation in Wireless Cellular System

Classical wireless communication technologies are threatened with so many challenges for meeting ... more Classical wireless communication technologies are threatened with so many challenges for meeting the desires of ubiquity and mobility for the cellular systems. Hostile wireless channels features and restricted frequency bandwidths are obstacles in future generation systems. In order to deal with these limitations, different advanced signal processing approaches, such as expectation-maximization (EM) algorithm, SAGE algorithm, Baum-Welch algorithm, Kalman filters and their extensions etc. were proposed. In this paper, estimation of unknown channel parameter and detection of data at receiver end has been performed. MIMO Rayleigh and Rician channels are taken for wireless communication. To find the initial point for EM algorithm FCM clustering algorithm is used. In this work, algorithm is implemented using MATLAB R2012a. The performance matrices of the algorithm are bit error rate (BER) and mean square error (MSE) at different values of signal to noise ratio.

Research paper thumbnail of Compressive Sensing Data with Partial Canonical Identity Matrix For Image and Video Reconstruction Using Lifting Wavelet

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020

This paper propose a combined structure in which lifting-based, distinguishable, picture coordina... more This paper propose a combined structure in which lifting-based, distinguishable, picture coordinated waveforms are evaluated as of compressively detected pictures and are utilized for the remaking of the equivalent. Coordinated wavelet can be effectively structured stipulation full picture is accessible. Likewise contrasted and the standard wavelets as scarifying basis, coordinated wavelet might give better reproduction brings about compressive detecting (CS) application. Since in CS application, we have compressively detected pictures rather than full pictures, existing strategies for planning coordinated wavelets can’t be utilized. In this way, we suggest a joint system that evaluations coordinated wavelets as of compressively detected pictures and furthermore remakes full pictures. This paper has three critical commitments. Initial, a lifting-based, image-matched separable wavelet is structured from compressively sensed pictures and is likewise used to reconstruct the equivalent....

Research paper thumbnail of Digital Image Processing in Medical Applications: A Case study

International journal of engineering research and technology, 2018

Research paper thumbnail of Implementing Secured and Effective Cloud-based Query Services with RASP Data Perturbation

The wild success of cloud data services bring the cloud commonplace for data to be not only store... more The wild success of cloud data services bring the cloud commonplace for data to be not only stored in the cloud, but also shared across multiple users. Using clouds to host data query services has become an fascinating solution for the advantages on scalability and cost-saving. However, Data owners show reluctance to share the sensitive and confidential data unless the Data integrity is guaranteed. On the other hand, a secured query service should still provide efficient query processing and significantly reduce the in-house workload to fully realize the benefits of cloud computing. We propose the random space perturbation (RASP) data perturbation method to provide secure and efficient range query and kNN query services for protected data in the cloud. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random noise injection, and random projection, to provide strong resilience to attacks on the perturbed data and queries. It also preser...

Research paper thumbnail of Data Detection with Fuzzy C-Means Based on Em Approach by Mimo System for Different Channel’s Estimation in Wireless Cellular System

Classical wireless communication technologies are threatened with so many challenges for meeting ... more Classical wireless communication technologies are threatened with so many challenges for meeting the desires of ubiquity and mobility for the cellular systems. Hostile wireless channels features and restricted frequency bandwidths are obstacles in future generation systems. In order to deal with these limitations, different advanced signal processing approaches, such as expectation-maximization (EM) algorithm, SAGE algorithm, Baum-Welch algorithm, Kalman filters and their extensions etc. were proposed. In this paper, estimation of unknown channel parameter and detection of data at receiver end has been performed. MIMO Rayleigh and Rician channels are taken for wireless communication. To find the initial point for EM algorithm FCM clustering algorithm is used. In this work, algorithm is implemented using MATLAB R2012a. The performance matrices of the algorithm are bit error rate (BER) and mean square error (MSE) at different values of signal to noise ratio.