In any communication system, there must be an information source (transmitter), a destination (receiver) and a medium to transmit information between the transmitter and the receiver. Message source originates message such as human voice, a television picture a teletype message or data. The message can be electrical and non-electrical. If it is not electrical, the source transducer will convert it into electrical signal. The transmitter may be consists of analog to digital converter, data compressor, source encoder, channel encoder a modulator or any other complicated subsystems. The receiver may be consists of demodulator, channel and source decoders data expender, digital to analog converter or others. Receiver transducer converts the electrical signal to its original form- the message. Message destination is the actual unit to which the message it sent. The channel is the information transmission medium. This medium can be of different types such as wire, a waveguide, an optical fiber or a wireless link. As the channel act as a filter, during the transmission of the signal (message) through the channel, the signal can be distorted due to the attenuation and phase shift suffered by different frequency component of the signal. Noise will also be added with the transmitted signal during the transmission of the signal through the channel. In this project WSN communication module is implemented and performance is analyzed over the AWGN channel. The analyzing parameters are BER, SNR etc. Signal is generated firstly then is passed through the procedure of transmission then passed through AWGN channel and then at receiver algorithm is implemented and at end the transmitted signal and receiver signal is compared on basis of parameters
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Technologies Covered
Digital Signal Processing, M.Tech | PhD Thesis Research Work, MATLAB Projects | Thesis
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Related Keywords
Communication, MATLAB, Mathworks, Linpack, Awgn, Releigh Fading, Racial, Trellis Codes, DSP, Digital Filter, Analog Filter, Signal Processing
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