Simulation and visualization enhance understanding of communication system behavior and performance. In this project, develop a simple model for a transmitter, channel, and receiver, and study the performance of the system in terms of bit error rate (BER). Channel errors are visualized as images and "auralized" as sound to further develop insight into the relationships between bit error rate and message length.
The integrate-and-dump detector is fundamental to coherent detection, the optimal receiver technique that minimizes bit error rate (BER) for a given signal-to-noise ratio Eb/No. In this project develop a pulse amplitude (PAM) transmitter based on a transmit filter to map a bitstream onto a signaling waveform (rectangular and Manchester pulse shapes), an additive white Gaussian noise (AWGN) channel, and a receiver that implements integrate-and-dump detection. All waveforms throughout the signal processing chain are presented as a stacked chart indicator with a speed control to permit generated waveforms to be studied slowly (i.e., the integrator output ramping up or down) or quickly to process long message bitstreams. Visualizing the critical system signals as waveforms facilitates exploration of the effects of specific values of BER and Eb/No, and promotes deeper understanding of coherent detection.
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