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QRS complex detecting algorithm is core of ECG auto-diagnosis method and deeply influences cardiac cycle division for signal compression. However, ECG signals collected by noninvasive surface electrodes areusually mixed with several kinds of interference, and its waveform variation is the main reason for the hard realization of ECG processing. This paper proposes a QRS complex detecting algorithm...
Compressed sensing (CS) theory provides a new solution for low-rate sampling design of IR-UWB receiver, but the quantization process is usually idealized in existent CS based sampling architectures. In this paper, the influence of quantization noise is fully considered, and an IR-UWB signal reconstruction method with high anti-noise performance is proposed. Based on the analysis of the noise distribution...
Cognitive radio is proposed as an approach to solve the conflict between the spectrum congestion and under-utilization. Energy detector is the detector most widely used in cognitive radio system due to its generality and low complexity. In this paper, the performance of energy detector under noise uncertainty is studied. The discrete form and continuous form of the noise uncertainty model are proposed...
A general model for complex electromagnetic environments incorporating multiplicative and additive noise is proposed. The locally optimum detector is derived for weak signal detection and shows that the influence of multiplicative noise in its mean multiplied to the statistics. The finite sample performance is evaluated by Monte-Carlo simulation with the comparison of other detectors and the result...
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