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In this work, the authors discuss the design of two low noise amplifiers (LNA) based on 1 μm gate-length pHEMT InP transistors and using two different topologies. Designed for radio astronomy applications, the first is a cascode circuit with a maximum gain of 15 dB and noise figure of 0.6 dB, while the second is a 2-stage cascaded amplifier with 27 dB of gain and 0.63 dB of noise figure. The two amplifiers...
This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale...
To collect neuronal activity data from awake, behaving freely animals, we developed miniaturized telemetry recording system. The integrated system consists of four major components: (1) microelectrodes and micro-driver assembly; (2) analog front end (AFE); (3) Programable system on chip (PSoC); (4) Radio transceiver and the LabVIEW used as a platform for the graphic user interface. The result showed...
We investigate how firing behavior of FitzHugh-Nagumo neuron depends on the intensity of Gaussian white noise. It is found that there exists an intermediate range intensity of noise where the firing behavior of neuron is induced and enhanced. To quantitatively study the firing degree of the neuron, the average number of firing spiking is introduced to measure the frequency of the firing patterns....
In this paper, we propose an efficient noise reduction method that can be used to reduce speckle and jointly enhancing the edge information, rather than just inhibiting smoothing. In this method speckle is removed by filtering of band pass ultrasound images in Laplacian pyramid domain by using mixed PDE based nonlinear diffusion. In each pyramid layer, a gradient threshold is estimated automatically...
Wave atom transform is a new multi-resolution technique, which has the ability to adapt to arbitrary local directions of a pattern, and to sparsely represent anisotropic patterns aligned with the axes. In this paper, a de-noising technique is proposed to remove the rician noise from Magnetic Resonance Images using wave atom shrinkage. It is well known that the noise in magnetic resonance imaging has...
The usage of multi-beam antenna in passive millimeter wave imaging system reduces the time of imaging, but this system structure leads to striping in the image acquired. By analyzing the characteristics of passive millimeter wave image and the spectrum distribution of striping noise, use a modified Butterworth low pass filter to remove striping in frequency domain. Confirm the cut-off frequency of...
This paper describes a graphical method for the optimization of Quadrature Voltage Controlled Oscillators (QVCOs) based on the coupling of two LC-tank VCO. A three-dimensional phase noise analysis diagram and graphical optimization approach is presented, to optimize QVCO phase noise while satisfying design constraints such as power dissipation, tank amplitude, tuning range and start up condition....
A tool for discovery of gait anomalies of elderly from motion sensor data is proposed. The gait of the user is captured with the motion capture system, which consists of tags attached to the body and sensors situated in the apartment. Position of the tags is acquired by the sensors and the resulting time series of position coordinates are analyzed with dynamic time warping and machine learning algorithms...
This paper proposes to introduce Lanczos interpolation filters as wavelet atoms in an optimized decomposition for embedded lossy to lossless compression of biomedical images. The decomposition and the Lanczos parameter are jointly optimized in a generic packet structure in order to take into account the various contents of biomedical imaging modalities. Lossless experimental results are given on a...
The application of Missing Data Technique (MDT) has shown to improve the performance of speech recognition. To apply MDT to cepstral domain, this paper presents a weighted approach to compute the reliability of cepstral feature based on sigmoid function and introduces a weighted distance algorithm. It is deduced that the reliability compensates the Gaussian variance in hidden Markov model (HMM) frame...
At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual and directly data analysis. This article uses EMD algorithm on endpoints processed data to decompose wheat futures price into seven Intrinsic Mode Function and one Residue. Then do symbolic clustering combined with SSVS method and denoised ENSO index. The results not...
IDS (Intrusion Detection system) is an active and driving defense technology. This paper mainly focuses on intrusion detection based on data mining. The aim is to improve the detection rate and decrease the false alarm rate, and the main research method is clustering analysis. The algorithm and model of ID are proposed and corresponding simulation experiments are presented. Firstly, a method to reduce...
Performance of a distributed video coding system depends, to a large extent, on the accuracy of joint source and side information distribution modeling. In this work we first examine a family of stationary joint distribution models. As one of our findings, we propose to use the double-Gamma model as an alternative to the widely adopted Laplace model, due to its superior performance. In addition, we...
It has been proven that spatial audio enhances the realism of sound for teleconferencing. Previously, solutions have been proposed for multiparty conferencing where each remote participant is assumed to have his/her own microphone, and for conferencing between two rooms where the microphones in one room are connected to the equal number of loudspeakers in the other room. Either approach has its limitations...
This paper describes a method for chord recognition from audio signals. Our method provides a coherent and relevant probabilistic framework for template-based transcription. The only information needed for the transcription is the definition of the chords : in particular neither annotated audio data nor music theory knowledge is required. We extract from the signal a succession of chroma vectors which...
Cyclostationary detection is regarded as a major method for spectrum sensing in cognitive radio and other applications as well. The rationale behind the detection is that the second order statistic of the interested signal is periodical. The period is therefore used as the critical feature for detection. In practice, due to clock error or oscillator error or other errors, the detector is hardly able...
Within the ICT OMEGA project, a thorough study of the Electro Magnetic Compatibility (EMC) issues linked to Power Line Communications (PLC) has been conducted. In this paper, we present our investigations carried out in the context of a frequency bandwidth extension of PLC systems up to 100 MHz. The current status of EMC regulations for PLC is first recalled. An experimental study is then presented...
Multihop and multipoint transmissions are two of the main features towards an increased spectral efficiency for the LTE-Advanced mobile radio system. Fixed wireless relays with in-band backhauling are considered as a multihop technique in LTE-Advanced. Relays improve cell capacity and cell edge user performance depending on the deployment. In this paper, at first, results for the peak spectral efficiency...
Cooperative localization algorithms have been recently introduced to overcome the limitations of systems relying on GPS or other terrestrial infrastructure. The novel hybrid cooperative unscented Kalman filter (hcUKF) approach, which fuses ranging data from both satellites and terrestrial receivers, allows increased availability, robustness and accuracy compared to GNSS-only localization in challenged...
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