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This paper proposes an improved version of sub-band adaptive notch (SAN) filters for detecting and eliminating multiple unknown sinusoids embedded in the broadband (in fact, white) signals. The proposed SAN filters enhance both the convergence speed and estimation accuracy especially when sinusoids have close angular frequencies, under which circumstances the original SAN filters suffer from convergence...
Network management protocols often require timely and meaningful insight about per flow network traffic. This paper introduces Randomized Admission Policy (RAP) — a novel algorithm for the frequency and top-k estimation problems, which are fundamental in network monitoring. We demonstrate space reductions compared to the alternatives by a factor of up to 32 on real packet traces and up to 128 on heavy-tailed...
This paper presents a comparison between two algorithms for sinusoidal signal characterization applied to QCM impedance measurements. These algorithms are the zero crossing and peak detection method and the 7 parameters sine-fitting method. Simulation and experimental results from both methods are shown in order to determine which method provides the best performance in terms of accuracy. Obtaining...
A new method of applying EMD (empirical mode decomposition) algorithm to realize the CFO (carrier frequency offset) estimation of single channel OFDM (orthogonal frequency division multiplexing) system is proposed in this paper. Firstly, the observation signal is extracted by using correlation detection technology to process the received OFDM signal. Then the data with CFO information is obtained...
The Phasor Measurement Units (PMUs) are currently considered among the most useful instruments for smart grid monitoring. While the traditional PMUs deployed at the transmission level are usually high-performance and expensive instruments, the interest in smaller and cheaper units able to perform synchronized measurements of voltage and current waveforms at the distribution level is currently growing...
We develop a linear parameter-varying (LPV) spectral decomposition method, based on least-squares estimation and kernel expansions. Statistical properties of the estimator are analyzed and verified in simulations. The method is linear in the parameters, applicable to both the analysis and modeling problems and is demonstrated on both simulated signals as well as measurements of the torque in an electrical...
We propose an elaboration and visualization approach for spectral measurement that allows to monitor the progress of the estimation process in real time while maintaining a quaqi-constant resolution bandwidth over frequency ratio in a wide frequency range. The approach we propose is particularly useful in the estimation of low frequency noise, where the flicker component is dominant, since it allows...
In this work, a new methodology to estimate the respiratory air flow rate from pulmonary sounds is proposed. Previously in the literature, it has been suggested to use the auto-regressive model to estimate the flow rate from pulmonary sounds, moreover, it has been presented that sounds are more correlated with the flow rate in certain frequency bands. In this work, on the other hand, the optimal auto-regressive...
Fast error concealment algorithms play an important role in image and video signal processing. Within this paper, a novel and highly accelerated Frequency Selective Extrapolation adaption is introduced for rapid image error concealment. The state-of-the-art complex-valued Frequency Selective Extrapolation runs with fixed parameters, e.g., a constant number of iterations, so far. In this paper, the...
In this work, we propose a framework which separates multi-emitter signals arriving to uniform linear antenna receiver system. Proposed model uses a combination of variational mode decomposition (VMD) and space alternating expectation maximization (SAGE) algorithms. Former one separates emitter signals and estimates their frequencies while in the second part channel parameters (relative phases, angle...
In the process of curve fitting, the unknown relationship between the data sampling rate and the frequency of the measured signal as well as signal's frequency fluctuations can cause remarkable error. In this paper, a sine curve fitting algorithm with frequency precise estimation is proposed to solve this problem. Firstly, ellipse fitting algorithm is used to estimate the measured signal frequency...
The Unified Data Architecture (UDA) of Teradata is an inclusive multisystem data analytics solution. A key challenge for query optimization under the UDA is to find optimal plans for queries that access data on heterogeneous remote data stores. The challenge comes primarily from the lack of statistics for data stored on remote systems. In this paper, we present techniques implemented in Teradata Database...
The estimation of carrier parameters is the key for coherent reception. FFT-based methods which have lower complexity, larger frequency regions and attractive performance have been widely used in practice. However, there is still much room for improvement for these traditional estimators. For example, the MSEs of traditional estimators would fluctuate dramatically while frequency varies, and they...
This paper presents an effective algorithm for estimating carrier frequency offset of APSK modulated signal. The data of the signal is obtained after the process of timing synchronization. The algorithm is based on the characteristic that the radiuses of the points of the constellation of APSK modulated signal are different. The value of the data is set to zero except the points with the smallest...
Permanent Magnet Synchronous Motors (PMSM) are increasingly used in high performance applications, controlling this motor require rotor position and magnet polarity at start up to avoid reverse rotation and spin the motor with heavy loads. Many techniques are proposed in the literature to estimate the Initial position and detect the magnetic polarity. Some of these techniques are quite simple and...
The LMS-based indirect frequency estimation algorithm (IFE) is reformulated using weighted least-square error criterion. Theoretical analyses for steady state bias and mean square error (MSE) are addressed. It has been shown that the proposed algorithm outperforms the conventional LMS-based algorithms in terms of convergence speed at the same value of MSE.
It is known that there is a contradiction between high-resolution range estimation and velocity estimation due to the influence of pulse repetition frequency (PRF) in traditional phased-array (PA) radar. In this paper, a joint unambiguous angle, range and velocity estimation method is proposed for bi-static multiple-input-multiple-output (MIMO) radar with frequency diverse array (FDA). Owing to the...
Speaker localization and counting in real-life conditions remains a challenging task. The computational burden, transmission usage and synchronization issues pose several limitations. Moreover, the physical characteristics of real speakers in terms of directivity pattern and orientation, as well as restrictions in the microphone array positioning, which commonly have to be placed close to walls, deteriorate...
The fundamental frequency is one of the prosodic parameters, and many algorithms have been developed for estimating the fundamental frequency of speech signals. Most of them provide good results on good quality speech signals, but their performance degrades when dealing with noisy signals. Moreover, although some provide a probability for the voicing decision, none of them indicate how reliable the...
We propose a TDOA-based algorithm for source localization on rigid surfaces. This allows the conversion of readily available large surfaces into touch interfaces using surface-mounted vibration sensors. To achieve this, we characterize the arrival of each sensor-received signal by the arrival times of its frequency components. To estimate the arrival time of each frequency component, we first model...
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