Wavelet Transform Analysis an Noise Estimation through Image Transmission via DM and Cognitive Radio Channel

Abstract

Numerous applications are used in communication channels to transmit data (text, image, audio, and video) via the packetization process. Audio and video transmission processes are implemented in FDMA. Only a subset of carriers in an OFDM system may successfully transmit data (images) due to channel fading. The remaining descriptions, which would otherwise have been dropped at the receiver due to unacceptable high channel errors, can be actively decided to be mapped optimally onto the good subcarriers and discarded at the transmitter itself if the channel state information is available at the transmitter. In our project, we describe a method for transmitting compressed image frames based on discrete wavelet processing across OFDM channels while using less energy.The mapped descriptions onto the problematic subchannels are dropped at the transmitter to lower system power consumption. In our project, we're using packetization to successfully transmit data while using less energy by transmitting images over an OFDM channel. In this project, we use several modulations and channel SNR ratios to conduct energy-saving calculations at a maximum level of 16 PSK modulation, which result in a 38% energy savings and a 51% PSNR quality measurement.