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The Auxiliary Particle Filter is a variant of the common particle filter which attempts to incorporate information from the next measurement to improve the proposal distribution in the update step. This paper studies how this can be done for Mixed Linear/Nonlinear Gaussian models, it builds on a previously suggested method and introduces two new variants which tries to improve the performance by using...
How will music information research open up the future to new ways of enjoying music? Today it is the fate of all music in the world to be digitized, and the era in which we can listen to a large selection of our favorite music anytime and anywhere has arrived. In the past we generally listened to music passively, but in the future we will be able to enjoy music in a more active manner. In this keynote...
This paper proposes methods for computational identification of the tonic and scale in Persian audio musical signals. The chroma, a simplified spectrum is taken as the feature set and Bit-masking and Manhattan distance are used as the classifiers. The results are applicable to various musical traditions in the Mediterranean and the Near East. This approach enables content-based analysis of, and content-based...
The Empirical Mode Decomposition (EMD) method is a commonly used method for solving the problem of single channel blind source separation (SCBSS) in signal processing. However, the mixing vector of SCBSS, which is the base of the EMD method, has not yet been effectively constructed. The mixing vector reflects the weights of original signal sources that form the single channel blind signal source....
The Tracking and Data Relay Satellite System(TDRSS) is a novel space-based tracking, telemetry and command system, which represents a new direction in the international tracking telemetering and command field. The UQPSK modulation was employed in the forward standard signal system of TDRSS, which in-phase channel transmitted information data, and orthogonal channel transmitted the ranging signal....
Aiming at despreading Wideband Code Division Multiple Access (WCDMA) signal blindly, the phase of Gold sequence is estimated firstly by utilizing the maximum value of the fourth-order cumulant slice of the product of WCDMA signal with the optimum m-sequences of different delays, and then the signal is descrambled. With the utilization of particular structure of OVSF codes, the signal is synchronized...
Ill-posed linear inverse problems (IPLIP), such as restoration and reconstruction, are core topics of transient feature extraction in cyclostationary signal processing. This paper presents a novel method for extracting transients through exploiting both the wavelet basis and the majorization minimization algorithm. To solve the objective function, majorization minimization (MM) algorithm is applied...
In this paper, we present a simplified approach to the normalization operation in the weighted overlap-add implementation of STFT analysis/synthesis. This method aims at eliminating the need for real-time normalization whether or not the used window is symmetric. A synthesis function is derived and determined at the initialization routine instead of on-line calculating in each iteration. In terms...
Accurate estimation of the amplitude parameter of sinusoidal signals from noisy observations is an important problem in many signal processing applications. In this paper, the problem is investigated under the assumption of non-Gaussian noise of Alpha stable distribution. According to the chaos theory and the properties of almost periodic functions, a new estimation method for amplitude of sinusoidal...
In modern electronic countermeasures, in order to interfere the normal work of reconnaissance receiver, the electronic jammer is usually used. For the wideband noise signal emitted by the jammer, the novel direction finding and localization algorithms are presented. In the direction finding(DF) algorithm, the time delay estimation is converted to the frequency estimation. The algorithm is not limited...
Numerical simulation method study the elastic wave field in complex media characteristics and propagation law of the important means. In this paper, the authors work out numerical simulation of wave filed in some complex double medium model based on staggered grid finite difference method (FDM) and conventional pseudo-spectral method (PSM). From the two methods of numerical simulation we can get the...
In this article, we introduce the quantum adiabatic computation to the research field of quantum operator learning. Compared with existing conventional optimization approaches, the adiabatic algorithm ensures to reach the global optimal solution, and thus avoids the local minimum problem. The performance of the experiments on two tasks indicates the feasibility and potentiality of this novel method...
A new time-delay estimation method based upon Cubic spline interpolation and Area bary center algorithm that is well suitable for determining the time-delay between two noisy band-limited signals is introduced. Unlike conventional correlation algorithm, the new approach has the ability to optimally estimate any non-integral sample delay only using Cubic spline interpolation and Area bary center algorithm...
In this paper we present a higher order moment-matching algorithm for computing the distribution parameters of nonlinear transformation random variables. The new algorithm has two distinct aspects compared to the standard Unscented Kalman Filter (UKF). First, the sigma points are computed in two steps using the covariance matrix and higher-order moments. Second, the associated weights are positive...
Carbon capture and storage (CCS) technology is considered to be one of the most promising options in dealing with the problem of global warming, where long distance transmission pipeline is often used for transporting captured CO2 to the storage site. A pipe leak detection and location system is established in the present work. An Acoustic emission (AE) signal occurs when CO2 leak takes place. The...
This paper presents an effective wideband spectrum sensing method based on compressed sensing theory. By making use of temporal smoothing technique, the proposed approach gives an effective sparse signal representation method for wideband spectrum sensing problem. After that, the proposed method can effectively obtain the sparse coefficients by L1-SVD algorithm so that all spectral holes can be detected...
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