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The speed of the target can be estimated by the sound pressure cross-correlation of the line spectrum of the moving target at different time intervals. However, a slight deviation of the line spectrum has a significant influence on the estimated result. In this paper this phenomenon is analyzed from the theory, then the speed of the target is estimated when the line spectrum is biased. Experimental...
This paper proposes an effective sequential initialization for multichannel nonnegative matrix factorization to address the difficulty of initial value dependency of the conventional method. The proposed method sets initial values of parameters from those obtained for the smaller number of channels. The experimental results of music separation show that the proposed method outperforms the conventional...
The objective of this paper is to describe a least square method to compute the far field from a nonuniformly spaced antenna array. This is because the far field pattern of an antenna array is the Fourier transform of the current distribution developed on the antenna structure, This is equivalent to computing the spectrum from a nonuniformly spaced data set using a least squares method. The merit...
Correlation clustering is a NP-hard problem, and for large graphs finding even just a good approximation of the optimal solution is a hard task. In previous articles we have suggested a contraction method and its divide and conquer variant. In this article we present several improvements of this method (preprocessing, quasi-parallelism, etc.) and prepare it for parallelism. Based on speed tests we...
A heterogeneous memory system (HMS) consists of multiple memory components with different properties. GPU is a representative architecture with HMS. It is challenging to decide optimal placement of data objects on HMS because of the large exploration space and complicated memory hierarchy on HMS. In this paper, we introduce performance modeling techniques to predict performance of various data placements...
Co-prime arrays and samplers are popular sub-Nyquist schemes for estimating second order statistics at the Nyquist rate. This paper focuses on the perturbations in the array locations or sampling times, and analyzes its effect on the difference set. Based on this analysis we propose a method to estimate the autocorrelation which makes best use of the sampled data in order to improve the estimation...
Massive multiple-input multiple-output (Massive MIMO) is acknowledged as a key technology for the 5th generation (5G) of wireless communication systems, which theoretically proved to be of higher throughput, better robustness, superior spectrum- and energy- efficiency. A reliable and realistic channel model serves is the enabling foundation for practical design and testing of communication systems...
Neurons in the brain from connection hence many neuron together tie up to form a network. Connectivity map interprets such connections in graphical form. Various signal processing and information theory techniques, can be implemented to form connectivity of the network of neurons on the Multi electrode array dish. The time of spike occurrences and electrode location of spike were recorded from the...
This paper deals with the near-field DOA-Matrix method for source localization using a uniform linear array antenna. In general, the mutual coupling between array elements degrades the DOA estimation accuracy. In this paper, we investigate the influence of mutual coupling in source localization using the near-field DOA-Matrix method and the improved method.
Extracting similar datapath bit slices which handle highly parallel bit operations can help a modern placer to obtain better solutions for datapath-oriented designs. A current state-of-the-art datapath bit slicing method achieves the best extraction results using a network-flow-based algorithm. However, this work has two major drawbacks: (1) it extracts only a limited number of bit slices for datapaths...
Random stepped FM radar that transmits random frequency narrowband pulses can avoid interference between adjacent radar systems. The random stepped FM radar also offers spectrum hole since it consists of independent pulses with different frequency. Thus it is expected to coexist with the existing radar systems. In this paper, we propose to adopt Khatri-Rao product array processing to spectrum hole...
Recently, deep learning became very popular, and was applied to many fields. The convolutional neural networks are often used for representing the layers for deep learning. In this paper, we propose Convolutional Self Organizing Map, which can be applicable to deep learning. Conventional Self Organizing Map uses single layered architecture, and can visualizes and classifies the input data on 2 dimensional...
The current paper analyses with what pace and magnitude the output power of small photovoltaic systems and small wind turbine systems changes. This is of critical importance for the optimization of demand management, storage optimization and data acquisition of such systems. Data was compared from a photovoltaic and a wind turbine system that were located in the same geographic location. It was found...
Passive beamforming in ultrasound therapy monitoring strives to estimate the energy emanating from a near-field source location by “steering” the wideband sensor signals with time delays, summing the steered signals, and computing the energy over a time interval. An image of the spatial energy distribution is obtained by repeating the process over a grid of imaging locations. Capon beamforming provides...
This paper presents a data-dependent SRAM paired with statistical methods to leverage data correlation for the purpose of low power read operations. A 10T bit-cell, a prediction-based conditional pre-charge circuit, and a compact column circuit implemented in a 16kbit 28nm SRAM test chip demonstrate power savings up to 69% for applications spanning signal processing, video coding and computer vision...
In this paper, we investigate the direction-of-arrivals (DOAs) estimation of a mixed noncoherent and coherent signals impinging on a uniform linear array (ULA). The DOAs of noncoherent and coherent signals are estimated separately, and a new oblique projector is obtained to isolate the coherent signals from the noncoherent ones. Compared with previous works, the proposed method overcomes the “saturation...
With the development of VLBI technology, the correlator system of observation station is constantly upgrading, so as to adapt to new data format and higher processing speed. Now the conversion of data format from Mark 5B to VDIF has been built by the researchers around the world. Once completed, it will be conducive to VLBI international collaboration. Hence it is very meaningful to study the VDIF...
In order to reduce the computational burden of the algorithm for two-sided correlation transformation, this paper proposes a fast algorithm based on the orthogonal propagator. Compared with the two-sided correlation transformation algorithm, the new method uses the propagation operator instead of the eigenvalue decomposition to estimate the feature vector of the noise subspace. There is no need to...
A sorting algorithm is one that puts elements of a list in a certain order. It makes easy searching and locating the information. The most-used orders are numerical order and lexicographical order. An efficient sorting algorithm is that takes less time and space complexity. In this paper I make contrastive analysis of bubble sort and merge sort and tried to show why required some new approach to get...
Then Open Government Data movement increases in recent years. The data has become an important part of Big Data. Data generated by different government agencies have different time and space coverages and are often focusing on various aspect of cities. These data could be co-registered in a unified spatial reference system for correlated analysis. This paper proposes a spatial grid based approach...
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