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An UHD AMOLED display driver IC, enabling real-time TFT non-uniformity compensation, is presented with a hybrid driving scheme. The proposed hybrid driving scheme drives a mobile UHD (3840×1920) AMOLED panel, whose scan time is 7.7μs at a scan frequency of 60Hz, through the load of 30kohm resistance and 30pF capacitance. A proposed accurate current sensor embedded in the column driver and a back-end...
We consider a search problem in which multiple targets are uniformly placed on the unit interval. An agent, who might not know the number of targets in advance, is interested in acquiring all targets to within some resolution δ as quickly as possible. To that end, at each time unit, the agent can probe any region of the unit interval for the presence of targets but the associated measurement noise...
This work is motivated by a distributed compressed sensing (DCS) scenario where multiple sensors independently perform compressed sensing and the sparse signals share a common support. The heterogeneous case is considered where the numbers of measurements and the noise levels at different sensors may be different. To analyse the performance, we focus on a probability model for sparse signals and use...
In this paper, a new spectrum sensing framework is proposed for radar communications, which recovers other informative states associated with realistic radar environments, e.g. fading channel gains and unknown noise variance, when detecting the occupancy of primary-band. We firstly formulate a dynamic state-space model by full considering the unknown noise variance and time-variant flat fading channel...
In this paper, we study a consensus algorithm for distributed spectrum sensing (DSS) in cognitive radio networks (CRN) integrating a Goodness of Fit based spectrum sensing scheme. Existing work in this area often applies energy detector as a local spectrum sensing method for DSS, however in this case one needs to make the assumption that the noise level is the same at every node in the network, otherwise...
Due to rapid developments of space devices the feasibility of space missions has been improved. New devices are small, light, cheap and benefit from low power consumption. Magnetic sensors for space applications need to follow these improvements. Hence, new sensors are needed to substitute the currently used fluxgate magnetometers, which introduce problems due to their high weight.[1] Anisotropic...
Machine fault diagnosis collects massive amounts of vibration data about complex mechanical systems. Analyses of the information contained in these data sets have already led to a major challenge. Compressed sensing (CS) theory is a new sampling framework that provides an alternative to the well-known Shannon sampling theory. This theory enables the recovery of sparse or compressible signals from...
This paper presents a low-noise single-ended open-loop switched-capacitor interface circuit in 0.35μm CMOS technology for a comb structure micro-accelerometer. Using correlated double sampling, the low-frequency noise of the charge sensitive amplifier and the gain stage is suppressed, whereas the noise of the sensor charging reference voltage and the sample-and-hold circuit which follows the gain...
This paper reports the design of a 1mW, 10ns-latency mixed signal system in 0.18μm CMOS which enables filtering out uncorrelated background activity in event-based neuromorphic sensors. Background activity (BA) in the output of dynamic vision sensors is caused by thermal noise and junction leakage current acting on switches connected to floating nodes in the pixels. The reported chip generates a pass...
The measurement and analysis of low level vibrations and Acoustic Emissions in components, fabrications and structures, is often accomplished by the utilisation of multiple distributed piezoelectric sensors. The frequencies of interest usually commence in the upper audio range above 2 kHz, but are more typically ultrasonic frequencies (up to 1MHz). Such measurements are intrinsically limited in terms...
We propose an algorithm to estimate the “lifetime” of events from retinal cameras, such as a Dynamic Vision Sensor (DVS). Unlike standard CMOS cameras, a DVS only transmits pixel-level brightness changes (“events”) at the time they occur with micro-second resolution. Due to its low latency and sparse output, this sensor is very promising for high-speed mobile robotic applications. We develop an algorithm...
A state estimator for a quadrocopter is presented, using measurements from an accelerometer, angular rate gyroscope, and a set of ultra-wideband ranging radios. The estimator uses an extended aerodynamic model for the quadrocopter, where the full 3D airspeed is observable through accelerometer measurements. The remaining quadrocopter states, including the yaw orientation, are rendered observable by...
This paper presents a low-cost wearable fitness monitoring device utilizing a 6-axis Inertial Measurement Unit (IMU) embedding 3-axis gyroscope and 3-axis accelerometer. The objective is to measure the angular value form by the feet with respect to the gravitational vector while walking in order to estimate the stride length. Kalman filter is employed for the sensor fusion technique and data conditioning.
We analyze the observability of 3-D pose from the fusion of visual and inertial sensors. Because the model contains unknown parameters, such as sensor biases, the problem is usually cast as a mixed filtering/identification, with the resulting observability analysis providing necessary conditions for convergence to a unique point estimate. Most models treat sensor bias rates as “noise,” independent...
Reliable surface normal computation is fundamental for a broad range of computer vision application areas, e.g. object segmentation, classification and recognition. Naturally, the surface normal is computed on the acquired depth data, whereby the normal quality is dependent on noise performance and resolution of the underlying image modality. The tendency of combining different imaging sensors into...
Compressive sensing system merges sampling and compression for a given sparse signal. It can reconstruct the image accurately by using fewer linear measurements than the original measurements. Hence, it is able to achieve reduction in complexity of sampling and number of computations. Since existing algorithms for implementation of sampling for the whole image are time consuming and it requires huge...
This paper presents a novel robust method of self-corrective Initial Alignment of a stationary SINS1 with respect to local-level frame (NED-frame) depending only on the output of a strap-down IMU2. The proposed method provides a superior performance compared to traditionally-known self-corrective initial alignment methods. The main contribution of this paper is the development of a new algorithm which...
Interferometry is a powerful method to estimate direction of arrival (DOA) in seafloor mapping. Its main difficulty derives from a 2π-ambiguity in phase, complicated by the presence of noise. Here, the Vernier method is explained and its performance is analyzed. This performance is compared against that of three other DOA estimators, namely the multiple signal classification (MUSIC) algorithm and...
Important processes that affect the Earth, for example climate change and geohazards, are driven by phenomena that take place in the oceans. To better understand and mitigate the effects of these processes, an important international effort is taking place to deploy permanent and remotely controlled seafloor and water-column observatory systems. In Europe, large cabled systems with marine sensors...
The European COMMON SENSE project aims to support the implementation of European Union marine policies such as the Marine Strategy Framework Directive (MSFD). The project has been designed to directly respond to requests for integrated and effective data acquisition systems by developing innovative sensors that will contribute to our understanding of the functioning of marine environments. It aims...
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