Implementation and optimization of Wavelet modulation in Additive Gaussian channels
Rad Niazadeh, Sahar Nassirpour, Mohammad B. Shamsollahi

TL;DR
This paper explores implementing wavelet modulation in digital communication over Gaussian channels, proposing novel detection methods and algorithms to enhance system performance.
Contribution
It introduces new techniques for message sample placement in frequency layers and develops algorithms for optimizing receivers and transmitters.
Findings
Proposed optimal detector structure for AWGN channels
Developed algorithms for receiver and transmitter optimization
Enhanced wavelet modulation performance in Gaussian noise environments
Abstract
In this paper, we investigate the implementation of wavelet modulation (WM) in a digital communication system and propose novel methods to improve its performance. We will put particular focus on the structure of an optimal detector in AWGN channels and address two main methods for inserting the samples of the message signal in different frequency layers. Finally, computer based algorithms are described in order to implement and optimize receivers and transmitters.
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Taxonomy
TopicsImage and Signal Denoising Methods · Advanced Data Compression Techniques · Blind Source Separation Techniques
