The APD statistical analysis of the high-speed system electromagnetic noise
This paper mainly discusses the power network offline noise of high-speed railway system, and uses the MATLAB simulation analysis on its amplitude probability distribution. The results show that the characteristics of the noise mentioned in this article is consist with the theoretical model of the high-speed railway system. It can be used to study the effects of such noise on the high-speed system.
On the Relation Between the Amplitude Probability Distribution of Noise and Bit Error Probability
In the paper entitled "Relation Between the Amplitude Probability Distribution of an Interfering Signal and Its Impact on Digital Radio Receivers," a formula for estimating the bit error probability of an interfered digital wireless receiver was presented in terms of the amplitude probability distribution of the noise. This formula is very useful for predicting the impact of interfering signals on digital wireless systems and for defining appropriate limits for the interfering signal level to protect wireless systems. However, the formula must be corrected so that it is valid for modulation schemes, such as quadratic-amplitude modulation and multiple phase-shift keying.
Fully Integrated Bidirectional CMOS-MEMS Flow Sensor With Low Power Pulse Operation
Leveraging More-than-Moore technology, we demonstrate an integrated CMOS MEMS flow sensor via a very compact system on chip (SoC) that can sense the bidirectional N2 gas flow. Our SoC features a very low-noise instrumentation amplifier that is implemented on a CMOS wafer and serves as a readout integrated circuit for a thermoresistive micro-calorimetric flow sensor which is fabricated on a MEMS wafer. A compact heterogeneous integration is achieved by combining the two wafers via the proprietary InvenSense AlN process. The measured sensitivity of our CMOS MEMS flow sensor is 98 mV/sccm which is three times better than the state-of-the-art counterpart. The flow range measured by our SoC is from −26 to 26 m/s (from −50 to 50 sccm). Moreover, the pulsed heater operation makes this proposed SoC flow sensor a very low power (<9 mW) and, thus, a promising candidate for the Internet-of-Things applications in smart home/green buildings.