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Estimation of the signal-to-noise ratio (SNR) has become an integral part of wireless communication systems, particularly in cognitive radio systems. The knowledge of the SNR at any time is essential because it has a significant influence on the performance of the system. Approximating this parameter can help better calculate the occupancy level of different channels of the radio spectrum which is...
Noise cancellation is one of the important signal processing functions of any communication system, as noise affects data integrity. In existing systems, traditional filters are used to cancel the noise from the received signals. These filters use fixed hardware which is capable of filtering specific frequency or a range of frequencies. However, next generation communication technologies, such as...
Noise originating from several sources in a RF environment degrades the performance of communication systems. In wideband systems, such as cognitive radios, noise at the receiver can also originate from non-linearity present in the RF front end, time-varying thermal noise within the receiver radio system, and noise from adjacent network nodes. Several denoising techniques have been proposed for cognitive...
The opportunities and challenges of traditional communication technologies in the area of rural communication calls for a change in perspective and usual trends of wire line and wireless connectivity. In the quest to improve rural communication with the urban market, use of smart hand-held devices and easy-to-deploy wireless connectivity is catalytic according to our findings. To eradicate digital...
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