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According to noise and low frequency redundant problems generated by analyzing non-stationary signal with empirical mode decomposition (EMD) method, this paper proposes an improved EMD method which uses instantaneous frequency weighed average algorithm to eliminate noise component and correlate coefficient significant test to eliminate low redundant components. The improved EMD method which can obtain...
Empirical mode decomposition (EMD) has been widely applied to analyze vibration signals behavior for bearing failures detection. Vibration signals are almost always nonstationary since bearings are inherently dynamic (e.g., speed and load condition change over time). By using EMD, the complicated non-stationary vibration signal is decomposed into a number of stationary intrinsic mode functions (IMFs)...
MEMS gyroscope has been recently the hotspot in inertial measurements applications, because of its advantage of low costs, micro size, and low power consumption, etc. But it is considered that MEMS gyroscope cannot be used in north-seeking because of its drift and noise. This paper has proposed a feasible rotation-modulation north-seeking method, in which correlation analysis is used to detect the...
For achieving a closed-loop, bidirectional control over myoelectric prosthetic hands, adopting the electrical stimulation in the sensory feedback channel for providing electrotactile substitution is currently a big trend. However, the electrical pulses used for stimulation may spread to the EMG collection sites which significantly interferes the controlling stability. In this paper, a novel noise...
We present a novel cost-efficient architecture based on a hybrid mode locked laser capable to simultaneously generate wavelength division multipliexed (WDM) passive optical network (PON) and radio over fiber (RoF) signals for 60 GHz applications. The proposed approach is compatible with the ITU frequency grid and does not require high bandwidth Mach-Zehnder modulators. Simulation results reveal the...
An objective of blind source separation (BSS) is to recover potential source signals from their mixtures without a prior knowledge of the mixing process. In this paper, a new underdetermined blind source separation (UDBSS) approach, based on the local mean decomposition (LMD) method and the AMUSE algorithm, is proposed. To make the UDBSS problem simpler, some extra observation signals are first constructed...
A number of data-driven fuzzy measure (FM) learning techniques have been put forth for the fuzzy integral (FI). Examples include quadratic programming, Gibbs sampling, gradient descent, reward and punishment and evolutionary optimization. However, most approaches focus solely on the minimization of the sum of squared error (SSE). Limited attention has been placed on characterizing and subsequently...
This study proposes a Spread Spectrum Clock Generator (SSCG) for Serial-ATA II, which is realized by a delta-sigma fractional-N frequency synthesizer with a digital triangular profile generator without external clock and a half-integer divider. By adding only a negative-edge-triggered resampler and using phase combination technique, the half-integer divider can be realized by any kind of integer programmable...
Determining the Noise and Signal Transfer Functions (NTF and STF) of a Continuous-Time Delta-Sigma Modulator (CTDSM) is an important aspect of the design verification process. In several practical CTDSM designs, like those with Switched Capacitor (SC) and Return-to-Open (RTO) feedback DACs, the loop filters are time varying, rendering traditional methods incorrect and/or time consuming. In this work,...
This paper presents a novel noise robustness algorithm to enhance speech features in noisy speech recognition. In the presented algorithm, the temporal speech feature sequence is first converted to its spectrum via discrete cosine transform (DCT), and then the DCT spectrum is compensated by a thresholding function in order to further shrink the smaller portion. Finally, the updated DCT spectrum is...
This paper presents an adaptive duplexer using cancelling instead of filtering to obtain sufficient transmitter (Tx) leakage and noise isolation in the receiver. A low level pseudo-noise (PN) pilot signal is introduced in order to adjust the cancelling coefficients. To modulate the pilot signal to radio frequencies a straightforward direct up-conversion mixer with low carrier feedthrough has been...
The amplitude of the photoacoustic (PA) elastic bending signals vs. the modulation frequency of the excitation optical beam for the chip with Si cantilevers were measured and analyzed. The experimental PA elastic bending signals of the whole micromechanical structure were measured by using special constructed PA cell (the gas-microphone detection technique with transmission configuration). The PA...
In this study, we examine a novel insight into the worst-case power noise in power integrity analysis for the core power of an ASIC. It is found that the traditional target impedance method resorting minimizing the peak impedance cannot guarantee a minimal worst-case power noise. The reason is because the worst-case power noise may not occur when the ASIC switching current is modulated at the peak...
This paper deals with the automatic classification of signals for aeronautical communication. The automatic signal classification is an important feature for the application of Cognitive Radio in aeronautical communications. Cognitive Radio will allow of automatically adapting the transmission parameters according with the radio environment and the channel conditions, with the aim of assuring reliable...
The spectrum of Nyquist-rate, single-bit quantized, randomly-dithered, amplitude-modulated, sinewave is studied analytically. It is shown that by choosing the dithering sequence appropriately and imposing certain constraints on the modulating sequence, the output is spurs-free and the quantization noise is white. MATLAB simulation confirms the theoretical results.
Sensor localization is a basic and important task of wireless sensor networks, and abundant localization algorithms have been proposed based on various ranging techniques, including time-of-arrival (TOA), time-difference-of-arrival (TDOA), received signal strength (RSS), angle-of-arrival (AOA) and etc. The accuracy of these ranging techniques rely on the line-of-sight (LOS) propagation of signals,...
This paper proposes a compact RF all-digital transmitter that is based on a direct digital synthesizer topology combined with Sigma-Delta modulation and other digital techniques to produce a spurs-free, high-frequency, single or few bit output with improved noise floor performance.
In this paper, we propose a chaotic-based random stepped frequency radar (CRSFR) applicable to wideband imaging. CRSFR provides faster matched processing via sequence rearrangement of AD sampling as compared with conventional random stepped frequency radar (RSFR). Our analysis shows that the presented radar system not only achieves a rapid matched filtering for range profiles without random noise...
The stable and reproducible generation of high average brilliance photon beam at Free Electron Lasers (FELs) requires a high-precision radio frequency (RF) regulation of the accelerating fields inside the cavities. High average power can be achieved with continuous wave (CW) operation, which minimizes Lorentz force detuning effects in superconducting resonant structures leaving microphonics and noise...
In this paper, we propose a completely automatic method to extract the vessel tree structure including its centerlines and radius using geodesic paths technology. Our main goal is to find a set of key points located in the vessel centerlines, link each pair of key points by minimal paths for finding the vessels between them and stop this process automatically. This work adapts the growing minimal...
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