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In this paper, we propose a novel methodology for Change Detection between two monovariate complex SAR images. Linear Time-Frequency tools are used in order to recover a spectral and angular diversity of the scatterers present in the scene. This diversity is used in bi-date change detection framework to develop a detector, whose performances are better than the classic detector on monovariate SAR...
Given a collection of M experimentally measured subspaces, and a model-based subspace, this paper addresses the problem of finding a subspace that approximates the collection, under the constraint that it intersects the model-based subspace in a predetermined number of dimensions. This constrained subspace estimation (CSE) problem arises in applications such as beamforming, where the model-based subspace...
This paper analyses the performance of a large bunch of pitch detection algorithms on clean and noisy speech data. Two sets of noisy speech data are considered. One corresponds to simulated noisy data, and is obtained by adding several types of noise signals at various levels on the clean speech data of the Pitch-Tracking Database from Graz University of Technology (PTDB-TUG). The second one, SPEECON,...
This paper addresses the problem of the reduction of speckle noise corrupting phase images from laser digital holography technique. It present an iterative denoising algorithm based on the 2-D windowed Fourier Transform. The algorithm is a new approach based on the SOS procedure recently proposed by Y. Romano and M. Elad adapted to phase processing. The approach is proposed in the case of the 2-D...
In this paper a new direct nonparametric estimation of the period and the shape of a periodic component in short duration signals is proposed and evaluated. Classical Fourier Transform (FT) methods lack precision and resolution when the duration of the signal is very short and the signal is noisy. The proposed method is based on the direct description of the problem as a linear inverse problem and...
In this paper we examine the general problem of estimating the frequency of a balanced or unbalanced three-phase power system. The Clarke transform is commonly employed to transform the three real voltages to in-phase and quadrature components that are combined to form a complex exponential, the frequency of which can then be estimated. The imbalance between the voltages in an unbalanced system results...
Sparse solutions of underdetermined linear systems of equations are widely used in different fields of signal processing. This problem can also be seen as a sparse decomposition problem. Traditional sparse decomposition gives the same priority to all atoms for being included in the decomposition or not. However, in some applications, one may want to assign different priorities to different atoms for...
In this paper, we present a greedy sensor selection algorithm for minimum variance distortionless response (MVDR) beamforming under a modular budget constraint. In particular, we propose a submodular set-function that can be maximized using a linear-time greedy heuristic that is near optimal. Different from the convex formulation that is typically used to solve the sensor selection problem, the method...
This work aims at introducing a new algorithm, AUDASCITY, and comparing its performance to the time-frequency block thresholding algorithm for the ill-posed problem of audio denoising. We propose a heuristics which combines time-frequency structure, cosparsity, and an adaptive scheme to denoise audio signals corrupted with white noise. We report that AUDASCITY outperforms state-of-the-art for each...
In this work, a fast and accurate chirp-rate estimation algorithm is presented. The algorithm is based on the fractional Fourier transform. It is shown that utilization of the golden section search algorithm to find the maximum magnitude of the fractional Fourier transform domains not only accelerates the process, but also increases the accuracy in a noisy environment. Simulation results validate...
In order to improve the signal-to-noise ratio(SNR) of the noise-contaminated signal and speed up the calculation speed. Firstly, digital average and correlation analysis two traditional methods is introduced in this paper, and then a new fusion algorithm method based on packet digital average and correlation analysis is proposed. Furthermore, simulations based on MATLAB of digital average, correlation...
High-accuracy indoor radio positioning can be achieved by using high signal bandwidths to increase the time resolution. Multiple fixed anchor nodes are needed to compute the position or alternatively, reflected multipath components can be exploited with a single anchor. In this work, we propose a method that explores the time and angular domains with a single anchor. This is enabled by switching between...
In this paper, we consider the joint multicast and unicast beamforming design problem in the multi-input single-output downlink wireless network, where all base stations (BSs) potentially can cooperate (as a single virtual BS) to transmit a common multicast and multiple dedicated unicast data streams at the same time on the same frequency band. To reduce cooperation overhead (among different BSs),...
Algorithms for estimating the symbol rate of signals with modulation types M-PSK and M-FSK are presented. The algorithm for estimating the symbol rate of the M-PSK signals is based on the Fourier transform of the squares of the modules of the complex envelope of the signal. The algorithm for estimating the symbol rate of M-FSK signals is based on the separation of the spectrum of the original signal...
As cutting-edge technology, cluster wells can substantially enhance wells production and oil recovery. Rotating Magnet Ranging System (RMRS) is critical technology to ensure precise ranging and accurate interconnecting target of complex structure wells. The magnetic signal of RMRS is a sinusoidal signal of frequency-varying, narrow band, and its intensity attenuates rapidly with cube of the propagation...
In order to address the problem of detecting and tracking low signal-to-noise-ratio (SNR) targets in bistatic passive coherent location (PCL) system, an improved dynamic programming track-before-detect algorithm is proposed. First, the polar measurements are converted to Cartesian measurements. Second, the Cartesian measurements are clustered with the neural network, and the amplitudes of the valid...
Stokes space based digital signal processing (DSP) techniques can improve polarization demultiplexing, polarization dependent losses compensation, and other polarization-related tasks in coherent receivers, particularly in terms of convergence speed and transparency to higher-level M-ary modulated signals. This paper reports recent advances on Stokes space based DSP for coherent optical communications...
In the last years blind source separation methods increasingly frequently use in digital signal processing. Their advantage is that we haven't to know any additional information about the source signals. The BSS method uses two fundamental presumptions. The first one is that the observation signals are linearly dependent on source signals. The second presumption is that the source signals must be...
Automated Modulation Classification (AMC) shows great significance for any receiver that has little knowledge of the modulation scheme of the received signal. A useful digital signal modulation recognition scheme inspired by the deep auto-encoder network is proposed in this investigation. In our proposed method, there are two deep auto-encoder networks. The system extracts the original features of...
Joint design of transmit waveforms and receive filters has been an active research field since the emergence of MIMO radar. The design problem is usually formulated into a maximization of the signal-to-interference-plus-noise ratio (SINR), subject to waveform constraints. A widely used approach is the alternating optimization scheme combined with the rank-one constrained SDP programming. In this paper,...
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