Osama Alkishriwo

Osama Alkishriwo
University of Tripoli | UOT · Department of Electrical and Electronics Engineering

Doctor of Philosophy

About

30
Publications
2,119
Reads
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46
Citations
Citations since 2016
28 Research Items
45 Citations
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Introduction
Osama Alkishriwo currently works at the Department of Electrical and Electronics Engineering, University of Tripoli. Osama does research in Communication Engineering, Image Encryption, Time-frequency analysis, and speech coding. His most recent publication is 'An Image Encryption Algorithm Based on Chaotic Maps and Discrete Linear Chirp Transform'.
Education
August 2009 - April 2013
University of Pittsburgh
Field of study
  • Electrical and Computer Engineering

Publications

Publications (30)
Preprint
Full-text available
In this paper, deep neural network (DNN) is integrated with spatial modulation-orthogonal frequency division multiplexing (SM-OFDM) technique for end-to-end data detection over Rayleigh fading channel. This proposed system directly demodulates the received symbols, leaving the channel estimation done only implicitly. Furthermore, an ensemble networ...
Article
Full-text available
Due to the rapid growth of multimedia transmission over the internet, the challenges of image security have become an important research topic. In this paper, an Adaptive Multiband Signal Decomposition (AMSD) is proposed and its application for image encryption is explored. Like the conventional multiband wavelet transform, the AMSD can decompose t...
Conference Paper
Intelligent fault diagnosis of rotating machinery has always been a challenge when monitoring rotating machinery to guarantee machine safety operation and reduce breakdown losses. In this paper, a new framework based on wavelet transform and discrete Fourier transform with deep learning is proposed for bearing fault detection. The proposed algorith...
Conference Paper
In this paper, deep neural network (DNN) is integrated with spatial modulation-orthogonal frequency division multiplexing (SM-OFDM) technique for end-to-end data detection over Rayleigh fading channel. This proposed system directly demodulates the received symbols, leaving the channel estimation done only implicitly. Furthermore, an ensemble networ...
Conference Paper
Modulation classification has been an interesting topic for many years with many applications in both civil and military fields. In this paper, we propose a feature-based automatic modulation recognition method that is based on the time domain statistical features of the amplitude envelope and the instantaneous phase with an artificial neural netwo...
Conference Paper
Speckle noise is intrinsic to medical ultrasound images and can cause misleading on image–based interpretation and diagnoses procedures. Therefore, in the processing of ultrasound medical images, speckle mitigation is an essential preprocessing step. In this article, a novel speckle noise mitigation technique using adaptive multi–resolution image d...
Conference Paper
Full-text available
Technology is all around us and it's changing rapidly, expanding Internet access has had huge impacts on everyday lives as people do everything on their phones and computers. The widespread growth in the use of digital computers, have an increasing need to be able to communicate with machines in a simpler manner. One of the main tasks that can simp...
Conference Paper
Full-text available
Denoising of chirp based signals is a challenging problem in signal processing and communications. In this paper, we propose a suitable denoising algorithm based on the discrete linear chirp transform (DLCT), which provides local signal decomposition in terms of linear chirps. Analytical expression for the optimal filter response is derived. The me...
Article
Full-text available
With the growth of modern digital technologies, demand for transmission multimedia and digital images, which require more storage space and transmission bandwidth, has been increased rapidly. Hence, developing new image compression techniques for reducing data size without degrading the quality of the image, has gained a lot of interest recently. I...
Preprint
Full-text available
Denoising of broadband non--stationary signals is a challenging problem in communication systems. In this paper, we introduce a time-varying filter algorithm based on the discrete linear chirp transform (DLCT), which provides local signal decomposition in terms of linear chirps. The method relies on the ability of the DLCT for providing a sparse re...
Preprint
Full-text available
In this paper, we propose a new method to estimate instantaneous frequency using a combined approach based on the discrete linear chirp transform (DLCT) and the Wigner distribution (WD). The DLCT locally represents a signal as a superposition of linear chirps while the WD provides maximum energy concentration along the instantaneous frequency in th...
Preprint
Full-text available
In recent years, steganography has emerged as one of the main research areas in information security. Least significant bit (LSB) steganography is one of the fundamental and conventional spatial domain methods, which is capable of hiding larger secret information in a cover image without noticeable visual distortions. In this paper, a combined algo...
Preprint
Full-text available
Quantization is an essential step in the analog-to-digital conversion process and it is very important in all modern telecommunication systems. In this paper, a novel chaotic uniform quantizer is proposed and its application for speech coding is presented. The proposed system consists of three stages: two PCM coders separated by an XOR operation wi...
Conference Paper
Full-text available
Denoising of broadband non-stationary signals is a challenging problem in communication systems. In this paper, we introduce a time-varying filter algorithm based on the discrete linear chirp transform (DLCT), which provides local signal decomposition in terms of linear chirps. The method relies on the ability of the DLCT for providing a sparse rep...
Conference Paper
Full-text available
Quantization is an essential step in the analog-to-digital conversion process and it is very important in all modern telecommunication systems. In this paper, a novel chaotic uniform quantizer is proposed and its application for speech coding is presented. The proposed system consists of three stages: two PCM coders separated by an XOR operation wi...
Conference Paper
Full-text available
De-noising of broadband non-stationary signals is a challenging problem in communication systems. In this paper, we introduce a time-varying filter algorithm based on the discrete linear chirp transform (DLCT), which provides local signal decomposition in terms of linear chirps. The method relies on the ability of the DLCT for providing a sparse re...
Preprint
Full-text available
In this paper, chaotic block image permutation and XOR operation are performed to achieve image encryption. The studied method of encryption makes use of chaotic systems properties for secure and speed image encryption. Firstly, the original image is divided into blocks of equal size. Then, two chaotic maps are used to generate two key streams whic...
Conference Paper
In this paper we propose an algorithm based on the fractional Fourier transform to separate the different components of a signal in the Wigner time-frequency domain. The aim is to obtain a compressed representation for such a signal containing a minimal number of parameters. The proposed procedure gets rid of the noise and the cross-terms after sep...
Conference Paper
Compressive sensing attempts to simplify the frequency transformation and thresholding steps, commonly done in data compression, into one. Sparseness of the signal, in either time or frequency, is required for the convex optimization in compressive sensing to perform well. Although sparseness of certain signals, in either time or frequency, is guar...
Article
We propose the discrete linear chirp transform (DLCT) for decomposing a non-stationary signal into intrinsic mode chirp functions. The decomposition of a signal into a finite number of intrinsic mode functions (IMFs) was introduced by the empirical mode decomposition (EMD). It exploits the local time-scale signal characteristics of the signal and p...
Article
Nonstationarity relates to the variation over time of the statistics of a signal. Therefore, signals from practical applications that are realizations of nonstationary processes are difficult to represent and to process. In this article, we provide a comprehensive discussion of the asynchronous representation and processing of nonstationary signals...
Conference Paper
Full-text available
In this paper, we consider FM demodulation as an application of the decomposition of non-stationary signals. Non-stationary signal decomposition can be done using either the empirical mode decomposition (EMD) or the Discrete Linear Chirp Decomposition (DLCT) methods. These methods decompose non-stationary signals using local time-scale signal chara...
Article
Full-text available
In this paper, a novel image encryption algorithm, which involves a chaotic block image scrambling followed by a two–dimensional (2D) discrete linear chirp transform, is pro- posed. The definition of the 2D discrete linear chirp transform is introduced and then it is used to construct the basis of the novel encryption algorithm. Finally, security a...
Preprint
Full-text available
In this paper, a novel image encryption algorithm, which involves a chaotic block image scrambling followed by a two-dimensional (2-D) discrete linear chirp transform, is proposed. The definition of the 2-D discrete linear chirp transform is introduced and then it is used to construct the basis of the novel encryption algorithm. Finally, security a...
Conference Paper
Full-text available
In this paper, chaotic block image permutation and XOR operation are performed to achieve image encryption. The studied method of encryption makes use of chaotic systems properties for secure and speed image encryption. Firstly, the original image is divided into blocks of equal size. Then, two chaotic maps are used to generate two key streams whic...
Conference Paper
Full-text available
Call admission control (CAC) schemes play a significant role in providing the desired grade of service (GOS) in cellular networks. But it's accompanied with the problem of congestion. This problem could be alleviated by an integration of dynamic pricing with call admission control which was presented and discussed in previous studies [I]. But this...
Conference Paper
Full-text available
Signal fading is an existing problem in mobile and wireless communications. In digital systems, fading results in bit errors, and evaluating the average error rate under fairly general fading models and multichannel reception is often required. Rayleigh fading channel is one of these models which can be considered as the real world model for this p...

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Projects

Projects (4)
Project
To enhance security of image encryption algorithms, To increase speed of image encryption algorithms, To enhance robustness of image encryption algorithms against noise and data loss attacks.