A low-complexity demodulation for oversampled LoRa signal

Components for Oversampled Signal Processors

Oversampled converters trade transmission bandwidth for resolution. An idealized model gives insight into the signal encoding and thus how signals can be manipulated. Oversampling offers a form of signal processing that requires simple processing elements capable of exploiting the growing clock speeds available in integrated solutions and avoids the need for analog circuitry. This paper reviews...

A New Approach for Investigating the Complexity of Short Term EEG Signal Based on Neural Network

 Background and purpose: The nonlinear quality of electroencephalography (EEG), like other irregular signals, can be quantified. Some of these values, such as Lyapunovchr('39')s representative, study the signal path divergence and some quantifiers need to reconstruct the signal path but some do not. However, all of these quantifiers require a long signal to quantify the signal complexity. Mate...

Low-complexity signal processing for ISI channels

In this paper, we present a low-complexity soft detection and soft decoding magnetic disk drive read channel with a modified soft output signal space detector (SD) which uses 3D-110 equalization and an error/erasure decoding Reed Solomon (RS) code. The detector determines Max-Log reliability information for intersymbol interference (ISI) channels with stationary white and colored noise. It can ...

Oversampled Wilson Expansions - IEEE Signal Processing Letters

Recently orthonormal Wilson bases with good time–frequency localization have been constructed by Daubechies, Jaffard, and Journé. We extend this construction to Wilson sets and frames with arbitrary oversampling (or redundancy). We state conditions under which dual Weyl–Heisenberg (WH) sets induce dual Wilson sets, and we formulate duality conditions in the time domain and frequency domain. We ...

Low-Complexity Iterative Demodulation for Non oherent Coded Transmission over Ri ean Fading Channels