In order to achieve convenient and rapid detection of pulse signal, a real-time detection system of photoelectric pulse signal based on Bluetooth transmission is proposed in this paper. The system mainly includes pulse sensor, Arduino processor board, Bluetooth modules and PC management platform. The pulse signal collected by pulse senor will be sent to Arduino processor board after being filtered and amplified. Then Arduino processor board will conduct A/D conversion and data processing on pulse signal. Thus pulse rate and time between heartbeats can be calculated, transmitted and displayed in real-time on PC management platform which is written by Processing Language. The results of the system test show that the pulse signal detection system implemented above can be served as practical application reliably.
A nonlinear frequency division multiplexing (NFDM) transmission system, designed specifically for nonlinear fiber channel, has the potential to overcome the nonlinear Shannon capacity limit. However, the spectral efficiency (SE) of the current proven NFDM transmission systems is still lower than that of the analogous orthogonal frequency division multiplexing system. It is extremely necessary to explore effective modulation scheme for the aim of increasing the SE of NFDM system. In this study, we first propose the nonlinear-frequency-packing nonlinear frequency division multiplexing (NFP-NFDM) transmission system. In NFP-NFDM, the spacing of nonlinear subcarriers is squeezed and more nonlinear subcarriers can be packed, but the inter carrier interference (ICI) is introduced. The method of NFP in nonlinear Fourier domain is carefully designed to reduce the complexity of ICI cancellation. Through numerical simulation, we illustrate the feasibility of NFP-NFDM transmission, and higher SE in NFP-NFDM than that of NFDM system is also demonstrated. The upper bound of the normalized SE for NFP-NFDM is estimated, which is higher than that of current NFDM system. Besides, we find out that the NFP scheme may have the advantage of reducing the signal-noise interaction in fiber transmission scenario, which indicates there may be a better way to load the data into the nonlinear Fourier domain.
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