Applications of Compressive Sensing Over Wireless Fading Channels

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Provided by: International Journal on Smart Sensing and Intelligent Systems
Topic: Networking
Format: PDF
Noise can be understood as the various factors to obstruct people or the system sensor to analysis receive signal. Wireless fading channels exist mixed noise, the most common noises are gaussian noise and impulse noise, to ensure the quality of the received signal, removing the noise in the channel is very important and necessary. WSDN (Wavelet Soft-threshold De-Noising) can suppress low-intensity gaussian noise well; unfortunately, the denoising effect in removing impulse noise using WSDN is not obvious, especially when noise intensity is relatively high.
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