203 research outputs found

    Approximate inference in hidden Markov models using iterative active state selection

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    Novel reduced-state BCJR algorithms

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    Joint space-time trellis code detection and MIMO equalisation via particle filtering

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    Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments

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    An improved ECU for extending the lifespan of fuel injectors.

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    The research paper presents the outcomes of an improved Electronic Control Unit (ECU) designed for automobiles equipped with Electronic Fuel Injection (EFI). The primary objective was to find a sustainable solution for various issues caused by decayed Petrol fuel injectors recommended to be replaced, but not done due to reasonable justifications. The issues include emissions produced by improper fuel combustion, wastage of fuel and possible damage to engine since incomplete combustion leave residual matter inside the engine's combustion chamber. The ideology is to control the excess fuel released by decayed fuel injectors by modifying the control instructions produced by the ECU. Experimental results have proven that employment of the improved ECU could reduce the emissions up to 84.9 % with an average of 75.8% and most excitingly, the improved ECU is capable to renounce the fuel wastage caused by decayed injectors by a percentage over 70 %

    Reduced complexity equalization of MIMO systems with a fixed-lag smoothed M-BCJR algorithm

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    Using Coded Excitation to maintain Signal to Noise for FMC+TFM on Attenuating Materials

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    Ultrasonic Non-Destructive Evaluation using Full Matrix Capture (FMC) and Total Focusing Method (TFM) is used for high resolution imaging as every pixel is in optimal focus. FMC excites one element in turn, so operates with lower transmitted energy compared to phased array beamforming. The energy at a reflector is further reduced by the broad directivity pattern of the single element. The large number of Tx/Rx A-scans that contribute to each pixel recover the Signal-to-Noise Ratio (SNR) in the final TFM image. Maintaining this in the presence of attenuating materials is a challenge because relevant information in each A-scan signal is buried in the thermal noise, and the TFM process assumes no quantization effects in the Analogue-to-Digital Converters (ADCs) in each receiver. In-process inspection during Additive Manufacturing (AM) requires ultrasonic array sensors that can tolerate high temperatures, scan over rough surfaces and leave no residue. Dry-coupled wheel probes are a solution, but the tire rubbers are often highly attenuating, causing a problem for FMC+TFM needed to adapt the focus through the rough surface. Common approaches to maintain the SNR are to drop the frequency or to average over multiple transmissions, but these compromise resolution and acquisition rate respectively. In this paper, the application of coded excitation to maintain the SNR in the presence of high signal attenuation is explored
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