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Recently, with the rapid development of sensor technologies, it is important to manage the large amounts of traffic data and predict the traffic condition from them. To satisfy the demand of traffic flow estimation, this paper studies the method of real-time traffic flow prediction based on Bayesian classifier and support vector regression (SVR). We first model the traffic flow and its relations on...
This paper presents analysis and design of source inductance for multistage LNA at 77-GHz band in 90 nm CMOS technology. Instead of simultaneous noise and impedance matching, the analysis shows the optimum degeneration of the single stage design for millimeter-wave frequencies. A low-power 77-GHz band LNA has been demonstrated to verify the optimization result. By using the proposed method, the LNA...
This paper presents the first RF MEMS VCO at 1–1.2 GHz with no measured mechanical resonances in its close-in frequency response. The oscillator results in output power of 2.5–4.5 dBm at 1–1.2 GHz and a best phase noise of −152 dBc/Hz at 10 MHz offset. A low-level spurious is seen at 131 kHz and its harmonics of 262 kHz due to the internal charge pump. The application areas are in high performance...
This paper proposes a robust speaker direction estimation method based on a microphone array for voice based interaction with smart TV. The proposed method uses speech basis and associated weights of non-negative matrix factorization for finding the speaker independent utterance direction from input signal with noise. The experimental results of the speaker direction estimation in real acoustic environment...
We approach the challenging problem of generating highlights from sports broadcasts utilizing audio information only. A language-independent, multi-stage classification approach is employed for detection of key acoustic events which then act as a platform for summarization of highlight scenes. Objective results and human experience indicate that our system is highly efficient.
This paper introduces a practical methodology to improve power integrity performance of the chip-package-PCB systems for smart TVs. For power integrity analysis, a chip, package and PCB are modeled as lumped element circuits for simplicity. Case studies are presented to optimize MLCC placement using chip-package-PCB co-simulation under fixed SoC design. In case studies, CPU power net of an application...
This paper introduces improvements to estimate 3D object pose from point clouds. We use point-pair feature for matching instead of traditional approaches using local feature descriptors. In order to obtain high accuracy estimation, a discriminative descriptor is introduced for point-pair features. The object model is a set of point pair descriptors computed from CAD model. The voting process is performed...
This paper presents an analog front-end (AFE) IC for measuring biopotential signals such as electroencephalogram (EEG) and, electrocardiogram (ECG). The AFE employs the capacitively coupled chopper instrumentation amplifier architecture to achieve low noise. To reduce chopper ripple and respiration artifacts, a continuous-time AC-coupled ripple reduction loop (RRL) and DC servo loop (DSL) are employed...
This paper presents a biopotential analog front-end (AFE) IC for measuring electroencephalogram (EEG). The AFE is based on the AC-coupled chopper stabilized instrumentation amplifier architecture to achieve the low noise. To increase the input impedance, the capacitive input impedance boosting loop (CIIBL) is proposed. The CIIBL forms a positive feedback loop between input and output of the instrumentation...
In this paper, we design a simulator using Matlab/Simulink that evaluates the anti-jamming capability of a tactical data link (TDL) system, called Link-16. We analyze the BER performance of the Link-16 simulator over partial-band noise jamming. Especially, we consider a TDL system with the cognitive anti-jamming capability that senses the jamming signal and opportunistically avoids the jamming spectrum...
A fully-differential capacitive touch sensing method is proposed in which common-mode noise currents are symmetrically subtracted at the differential input of the first stage such that it doesn't contribute to dynamic range reduction in the later stages. And, for better sensitivity, the proposed method could accumulate signal charges in continuous time domain, and does not suffer from aliasing issues...
High aspect ratio through silicon vias (TSV) present a challenge for measurement of bottom critical dimension (BCD) and depth. TSVs smaller than 5 micron diameter with greater than 12∶1 depth to BCD aspect ratio have particularly poor signal to noise ratio in the measured signal. This paper proposes a method for improving the interferometric measurement of these very small and high-aspect ratio TSVs...
The key to designing power distribution network (PDN) is to obtain correct current drawn by integrated circuits (IC). This paper suggests an exact IC current extraction method using a measured voltage of a board and new transfer function which reflects the effects of the scope's noise. Voltage waveform is measured at the location where the closest decoupling capacitor from an IC would be removed in...
As the sensing capacitances of the recent microaccelerometers become smaller, a precise calibration method is highly required to compensate for the input parasitic capacitance mismatch. This paper presents a sub-fF trimmable readout circuit for capacitive tri-axes microaccelerometer. A charge sensitive amplifier (CSA) with correlated double sampling (CDS) and digital to-equivalent capacitance converter...
A depth-map is used to synthesize virtual texture views in the multi-view plus depth (MVD) format. In conventional video coding, a coded depth-map often suffers from compression artifacts along object boundaries, which have a negative effect on the quality of rendered images in the view synthesis process. To address this problem, we propose a depth-map boundary filtering technique to eliminate coding...
Electroencephalogram (EEG) record brain activation into electric millivolts. Brain computer interface based on EEG signal recognized brain control limbs movement is one of the main application of BCI system. Classification attention of user when moving limbs find out the brain region activating and translate them into commands which could control outer device. Recently, a famous technique to analyze...
Wearable ubiquitous biomedical applications, such as ECG monitors, can generate dynamic noise as a person moves. However, the source of this noise is not clear. We postulated that the dynamic ECG noise has two causes: the change in displacement of the heart during motion and the change in the electrical impedance of the skin-gel interface due to motion-induced deformation of the skin-gel interface...
Complementary metal oxide semiconductor (CMOS) image sensors are more compatible than charge coupled devices (CCDs) for lab-on-a-chip platforms due to their inherited advantages. However, without the noise reduction circuits, CMOS technology wouldn't be able to compete with CCDs. Today, correlated double sampling circuits (CCDs) are used in all CMOS imagers in order to remove the reset noise and the...
In this paper, we propose a content-aware noise reduction (NR) method for the Digital TV, which preserves image textures and edges. In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the saliency map which accurately represents edges in a noisy image is employed in the spatial filter. Experimental...
In this paper, we propose the novel interface system for mobile phone using infrared pointer scheme. Our approach exploits mobile augmented reality technology using IR camera. We implemented the proposed mechanism on smartphone and applied the proposed interface to sketchbook application called U-Sketchbook. Users can draw picture on any space available and the IR camera can detect the movement of...
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