Sidi Mohamed Farssi

A Novel Compact Dual-Band LTE Antenna-System for MIMO Operation

In this communication, we present a novel compact dual-band antenna-system for LTE multi-input and multi-output (MIMO) mobile handsets. The radiators consist of 3D Inverted-F- Antennas (IFAs) folded on the non-metalized part of the Printed Circuit Board (PCB) and operating in the LTE 700 MHz band. A parasitic radiating element is also attached to the IFAs to operate in the LTE 2.5-2.7 GHz band. Two antennas are placed on a realistic PCB (100 × 40 mm2) for MIMO operation. Various antenna configurations are tested when moving their position on the PCB. Based on the highest port-to-port isolation criterion, two configurations are adopted and their performances are compared. Both simulated and measured results are shown to illustrate the MIMO capabilities of the proposed structures.

A Combined Method Of Fractal And GLCM Features For MRI And CT Scan Images Classification

Fractal analysis has been shown to be useful in image processing for characterizing shape and gray-scale complexity. The fractal feature is a compact descriptor used to give a numerical measure of the degree of irregularity of the medical images. This descriptor property does not give ownership of the local image structure. In this paper, we present a combination of this parameter based on Box Counting with GLCM Features. This powerful combination has proved good results especially in classification of medical texture from MRI and CT Scan images of trabecular bone. This method has the potential to improve clinical diagnostics tests for osteoporosis pathologies.

Minimizing embedding impact in steganography using polar codes

This paper proposes two approaches that reduce the complexity of the Polar Coding Steganography (PCS). The first is based on lookup tables and the second exploits the form of the syndrome, calculated from cover vector and secret message, to evaluate la position of the cover vector changes. The scheme proposed in this paper allows minimizing the embedding impact and gives similar results as those of PCS scheme with a reduced time complexity.

Practical polar coding method to minimize the embedding impact in steganography

This paper proposes a new practical polar coding methodology for constructing steganographic scheme. We use syndrome coding with binary embedding operation. The approach exploits the form of the syndrome, calculated from cover and secret message. A connection between the syndrome decimal value and the embedding changes position is established and enables defining a new steganographic algorithm. The wet paper codes can also be implemented using this method. Experimental results prove that the scheme minimize the embedding impact with a reduced time complexity compared to the first Polar Coding Steganography (PCS).

Soft output detection for MIMO systems using binary polar codes

Polar codes are proven capacity-achieving and are shown to have equivalent or even better finite length performance than turbo/LDPC codes under some improved decoding algorithm over the Additive White Gaussian Noise (AWGN) channels. Polar coding is based on the so-called channel polarization phenomenon induced by a transform over the underlying binary-input channel. The channel polarization is found to be universal in many signal processing problems and is applied to the coded modulation schemes. In this paper, a small length polar, encoded for a MIMO (Multiple-Input Multiple-Output) systems with soft output MMSE-SIC (Minimum Mean Square Error-Successive Cancellation) detection, is applied to improve the coded performance while reducing the complexity. In order to prove this theory, we compare the proposed MMSE-SIC BER to Zero Forcing (ZF) and Maximum Likelihood (ML) by using 2*2 MIMO systems into Rayleigh channel with BPSK (Binary Phase-Shift Keying) modulation. Simulation results show that MMSE-SIC complexity is lower than the two others detections. We show that the performance of the proposed approach using polar code (128, 64) at 10−2 BER (Bit Error Rate) is around 3dB i.e. 0,66% compared to the optimal ML, while ZF performance is the worst.

Study of polar codes MIMO channels polarization using MIMO system

Polar codes are known as the first provable code construction to achieve Shannon capacity for arbitrary symmetric binary input channels. Several schemes to provides both detection/decoding of the transmitted and the transmit antenna index in Multiple-Input Multiple-Output (MIMO) antenna systems were proposed in the literature for polar codes. In this paper we have critically analyzed various MIMO channel polarization using polar codes extended to the multiple antenna transmission, and also have covered free polar set and frozen polar set for respectively mapping transmitted information and transmit antenna index.

Adaptive linear programming of polar codes to minimize additive distortion in steganography

A new practical syndrome coding method is proposed in this paper to minimize a suitably defined additive distortion function using Adaptive Linear Programming of Polar Codes (ALP-PC). We propose modifications of the ALP-PC based on a new reduced factor graph for steganographic purposes which we denote by ALP-PCS. The implementation of wet paper codes in practice is possible using ALP-PCS. Simulation results show that this method minimizes additive distortion in steganography and gives good embedding efficiency performance.

Medical image texture segmentation using multifractal analysis

Medical image segmentation is a technique using to mean manually, fully or semi-automatically delineating the boundaries of tissue regions or an object. This paper presents a robust segmentation approach for medical image texture using multifractal analysis. The goal is to segment the images with respect to their characteristics such as bone and tissue types. In clinical situations where large numbers of data sets must be segmented, traditional methods may be tedious and biased. For these reasons, we used an automatic image segmentation algorithm, which eliminates the problem the classical method presents and expedites the process. In this paper, we present an algorithm to reliably segment medical images by using multifractal analysis. The result shows that the proposed method is able to analyze a broad range of medical images.

Contribution to SMS management over 4G network in distance education context

In parallel to the using of resources implemented for distance learning, learners appreciate send and receive SMS. Although 4G offers very high data rates and adaptable quality of service, it does not support the SMS legacy service of GSM. 3GPP is currently specifying two architectures for SMS transmission: SMS over SGs, and SMS over IMS. However, when the learner uses a 4G service, to send or receive a SMS, he is first switched to 3G, which interrupts the current service on 4G. It is in this context that we propose a solution that permits to learner to send or receive SMS while continuing to use his service on the 4G network.

Small Polar Codes Concatenating to STBC Applied to MIMO Systems

This paper uses a concatenation of small Polar Codes length (N=32) and Space Time Block Code, this Polar-STBC is applied to no diversity (SISO), SIMO, MISO and MIMO systems. Minimum Mean Square Error using Successive Interference Cancellation (MMSE-SIC) is a soft output used to the receiver in order to improve Bit Error Rate (BER) and finally Successive Cancellation Decoder (SCD) is placed to the decoder in order to improve the BER and Frame Error Rate (FER). Comparison between several STBC without concatenation schemes and this small Polar-STBC shown that the proposed allows minimizing the BER and FER performances.