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- W4320161303 abstract "Communications development is the fastest-growing Nowadays, so the need and the constant demand for
 faster and more reliable communication methods have increased. Here, the compressive sensing appeared to meet
 this need. Compressive sensing is a new method of sampling that is not rendered to the Shannon-Nyquist law. In this
 thesis, we studied the effects of orthogonal (Fourier and wavelet) modulation with compressive sensing modeling on
 the characteristics of the signal that are used for medical and security applications. The compressed image
 performance has been tested in three ways and transmitted via the FFT-OFDM system and the DWT-OFDM system,
 under various baseband modulation schemes with the effect of white Gaussian noise. Then we compared the
 transmission performance via FFT-OFDM versus DWT-OFDM. From the simulation is observed that the wave-based
 OFDM system is better than the Fourier-based OFDM system Furthermore, the wavelets better than Fourier in the
 utilization of Bandwidth, Unlike FFT that allocates part of Bandwidth of the cyclic prefix (CP), and thus part of it is
 wasted." @default.
- W4320161303 created "2023-02-13" @default.
- W4320161303 creator A5053654244 @default.
- W4320161303 creator A5071360506 @default.
- W4320161303 date "2021-03-30" @default.
- W4320161303 modified "2023-09-26" @default.
- W4320161303 title "Compressive Sensing over OFDM Systems" @default.
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- W4320161303 doi "https://doi.org/10.31642/jokmc/2018/080104" @default.
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