Nov, 2013

Computer Engineering

Eastern Mediterranean University

Publication Journal
Apr, 2020

Technology Reports of Kansai University (Issue: 03) (Volume: 62)

Internet of Things (IoT) is now one of the most challenging research fields that still has much to be discovered. Since it consists of a wide range of elements like devices, humans, animals, and others, there is a big need to find a simple way of its network simulation. Although there were previous trials to do this, a need exists to combine both modeling and simulation of IoT networks in one frame. In this work we propose a crossbreed approach that enables specialists to display IoT and reproduce OMNeT++, through giving mapping rules between the operator worldview and the OMNeT++ test system. The PDR and RTT results are plotted by varying the number of smart objects (SOs) and subnets for both large and low number scales. Increasing the number of subnetworks in a specific region badly influences both RTT and PDR

Oct, 2013
Digital Nonrecursive FIR Filter Design Using Exponential Window

Eastern Mediterranean University (EMU)

Recently it has been found that the Exponential window gives better side-lobe roll-off ratio compared with Kaiser window. That difference is important for some applications like beam forming, filter design, and speech processing. In this thesis, the design of digital non-recursive finite impulse response (FIR) filter by using Exponential window is proposed. One of the most effective variables is the far-end stopband attenuation especially when the signal needed to be filtered has a great concentration of spectral energy. In a sub-band coding, the filter is intended to separate out various frequency bands for independent processing. When it is applied on speech, the far-end rejection of the energy in the stopband needs to be as higher as possible to make leakage of the energy from one band to another as lower as possible. Therefore, the designed filter should have special specifications which should provide better far-end stopband attenuation (amplitude of last ripple in stopband). Finding a digital filter that has a higher performance far-end stopband attenuation than Kaiser window is very valuable when the FIR filter constructed by the use of Kaiser window far-end stopband attenuation becomes better than the one constructed by the well-known adjustable windows, for instance, the special cases of Ultraspherical windows, Dolph-Chebyshev and Saramaki. In this thesis, the construction of non-recursive digital FIR filter has been presented through applying Exponential window. After applying the Exponential window, it is found that the far-end stopband attenuation becomes better than the filter constructed by Kaiser window, and that is one of the advantages of filter building by using Exponential window over Kaiser window. The proposed scheme is simulated by MATLAB. All the simulation results show a good agreement with the proposed theory. Keywords: Digital FIR Filter, Side-lobe Roll-off Ratio, Far-end Stopband Attenuation, Window Technique, Kaiser Window, Exponential Window.