International Conference on Digital Signal Processing (DSP)
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
19-21 Nov. 2018
Showing 1-25 of 269
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Digital Signal Processing (DSP), 2018 IEEE 23rd International Conference on
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Elimination of Impulsive Disturbance based on Nonconvex Regularization
Publication Year: 2018,Page(s):1 - 5
This work aims to recovery the signal that is corrupted by impulsive disturbance. To that end, the \ell_{p}-norm (0 \lt p \leq 1) is employed to promote sparsity of the signal of interest and the impulsive disturbance. By doing so, the signal recovery and disturbance suppression are simultaneously achieved. Two improved solvers based on block coordinate descent (BCD) and alternative direction ...Show More
Improving TOA Localization Through Outlier Detection Using Intersection of Lines of Position
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (7)
Outlier measurements often presence when locating an object from a number of sensors, which could decrease the positioning performance considerably. This paper addresses the problem of outlier detection in locating an object using TOA measurements. The detection is based on the construction of a spectral graph through pairwise intersection between the lines of position from a measurement pair. Cru...Show More
A Class-dependent Background Model for Speech Signal Feature Extraction
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (1)
Universal Background Model (UBM) has been successfully applied to many speech signal classification tasks, such as speaker recognition and microphone recognition. UBM is used to form Gaussian Supervector (GSV) or i-vector, which is a good feature vector representing a piece of speech signal. In this paper, we propose another background model called Class-dependent Background Model (CBM), which mak...Show More
Beta Process Factor Analysis for efficient seismic Compressive Sensing with uncertainty quantification
Publication Year: 2018,Page(s):1 - 5
Compressive Sensing for seismic surveys uses sparse signal assumptions to reconstruct the reflected wave field. In the past, most methods utilised dictionaries of fixed basis functions for sparse representation. Recently, algorithms that learn the basis from data are being used with better reconstruction accuracy but longer computational times. One of these is the Beta Process Factor Analysis (BPF...Show More
Complementary Codes Approach to Sparse Frequency Waveform Design
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (5)
Sparse frequency waveform (SFW) is able to utilize spectrums from disjoint channels in a single waveform so as to improve the overall bandwidth that is desirable in both radar and communications. One challenge faced with sparse frequency waveform design is the relatively high range sidelobe level due to spectrum discontinuity. In this paper, a new approach to sparse frequency waveform design with ...Show More
WiFi-Based Adaptive Indoor Passive Intrusion Detection
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (12)
Passive intrusion detection, which is an emerging technique to detect whether there exists any intruders in monitored area, is widely used in home security and smart home, etc. Up to now, various indoor fine-grained passive human intrusion detection systems using WiFi signals have been proposed. However, those existing detection systems mostly rely on elaborate off-line training process, which ham...Show More
Adaptive 2-D DOA Estimation using Subspace Fitting
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (2)
Direction-of-arrival (DOA) estimation is a ubiquitous task in array processing. In this paper, we propose an adaptive 2-dimensional direction finding framework to track multiple moving targets by using the subspace fitting method. First, we expand the steering vectors of the current snapshot in a Taylor series around the DOAs of the previous snapshot. Then we transform the subspace fitting problem...Show More
Gaussian Mixture Model and Gaussian Supervector for Image Classification
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (4)
Gaussian Mixture Model (GMM) has been widely used in speech signal and image signal classification tasks. It can be directly used as a classifier, or used as the representation of speech or image signals. Another important usage of GMM is to serve as the Universal Background Model (UBM) to generate speech representations such as Gaussian Supervector (GSV) and i-vector. In this paper, we borrow GSV...Show More
Image alignment is usually the first move in modern image stitching pipeline; and utilizing a global homography to align two images is justified on the condition that only pure rotation concatenates two views or the whole scene is planar. Ghosting effects frequently happen because aforementioned condition is rarely satisfied in practice; so we propose adaptive local homographies to improve image a...Show More
Efficient Reflection Removal Algorithm for Single Image by Pixel Compensation and Detail Reconstruction
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (4)
When taking photos, there is often an undesired reflection image on glass windows, which may degrade the vision. In current reflection removal methods, they usually assume that the gradient of the transmitted layer is larger than the undesired refection layer and remove the object with smaller gradient. However, there is a challenging problem that these algorithms may remove the transmitted layer ...Show More
An Efficient Data-Driven False Data Injection Attack in Smart Grids
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (8)
Data-driven false data injection attack is one of the emerging techniques in smart grids, provided that the adversary can monitor the meter readings. The basic idea is constructing attack vectors from the estimated signal subspace, without knowing system measurement matrix. However, its stealthy performance is significantly influenced by the accuracy of the estimated subspace. Furthermore, it is c...Show More
A Vibration Signal Filtering Method Based on KL Divergence Genetic Algorithm – with Application to Low Speed Bearing Fault Diagnosis
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (5)
Fault signal plays a crucial role in bearing fault detection and diagnosis. However, in some low speed condition, the fault signal is weak and overwhelmed by the strong noise. It is hard to extract fault signal information effectively. To handle this problem, a vibration signal filtering method based on Kullback-Liebler (KL) divergence genetic algorithm (GA) is presented. This method employs binar...Show More
Storage-Computational Complexity Efficient Light Field Reconstruction
Publication Year: 2018,Page(s):1 - 5
The point spread function (PSF) of plenoptic camera is verified to be spatial varying theoretically. Therefore, memory and time are consumed severely during the reconstruction of large-scale light field at the object plane where inversing the PSF matrix is needed. This problem will directly limit the spatial resolution of the object that can be handled. In this paper, a layered LU decomposition, p...Show More
Advanced Ear Detection Algorithm Using Faster R-CNN, Refocus Filters, and the Gradient Map
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (2)
Generally, the ear is a distinctive feature in face images. Many researchers carrying out the studies on face image processing attempt to extract the features of ears to improve the performances of face detection and recognition. In this paper, we propose a novel and efficient algorithm to detect ears from profile images automatically. The proposed algorithm is based on the techniques of the convo...Show More
An Multipurpose Optimization Equivalent Filter in Hybrid Energy Storage Systems for Output Fluctuation Suppression of Photovoltaic Generation Systems
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (1)
Supercapacitor/battery hybrid energy storage system (HESS) is an effective solution to suppress the power fluctuation of photovoltaic power generation systems during radiation changes. In this paper, the topology of HESS and its connection with photovoltaic systems are first analyzed. Second, a linear weighted summation equivalent filter based on variable weights is proposed to determine the power...Show More
Multi-bit Decentralized Detection of a Weak Signal in Wireless Sensor Networks with a Rao test
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (7)
We consider decentralized detection (DD) of an unknown signal corrupted by zero-mean unimodal noise via wireless sensor networks (WSNs). To cope with energy and/or bandwidth constraints, we assume that sensors adopt multilevel quantization. The data are then transmitted through binary symmetric channels to a fusion center (FC), where a Rao test is proposed as a simpler alternative to the generaliz...Show More
Fisher Discriminant Analysis with New Between-class Scatter Matrix for Audio Signal Classification
Publication Year: 2018,Page(s):1 - 5
Fisher Discriminant Analysis (FDA) is a widely used technique for signal classification. Its application varies from face recognition to speaker recognition. FDA aims to project a given feature onto a projected space, where the features coming from the same class are moved closer, while those coming from different classes are moved farther. However, in the original formulation of FDA, the number o...Show More
End-to-End Residual CNN with L-GM Loss Speaker Verification System
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (1)
We propose an end-to-end speaker verification system based on the neural network and trained by a loss function with less computational complexity. The end-to-end speaker verification system in this paper consists of a ResNet architecture to extract features from utterance, then produces utterance-level speaker embeddings, and train using the large-margin Gaussian Mixture loss function. Influenced...Show More
A fast blind source separation algorithm for binaural hearing aids based on frequency bin selection
Publication Year: 2018,Page(s):1 - 5
In binaural signal processing, due to the large distance between two ears, spatial aliasing occurs at the high frequencies. Therefore, the fast algorithms based on frequency bin selection usually limit the frequency range to below 1kHz to avoid dealing with the aliasing problem. In this paper, a fast Blind Source Separation (BSS) algorithm based on frequency bin selection without limiting the rang...Show More
Automatic Modulation Classification of Cochannel Communication Signals Based on Cumulant
Guohua Wang;Huiting Guo;Guoan Bi;Shang Kee Ting;Sirajudeen Razul
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (2)
This paper presents a new approach to automatic modulation classification of cochannel signals based on cumulants. Unlike the case of single signal modulation classification, the presence of cochannel interference may render the computation of cumulant inaccurate, which therefore leads to poor modulation classification performance if the conventional cumulant based approaches are used. The main co...Show More
Single Channel Blind Separation of Non-Orthogonal Cochannel Signals with Higher Order Modulation
Guohua Wang;Shang Kee Ting;Sirajudeen Gulam Razul;Chong Meng Samson See
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (2)
This paper presents one efficient blind separation method for non-orthogonal cochannel communication signals received by a single channel receiver. Unlike most existing works dealing with lower order modulation such as binary phase shift keying and quadrature phase shift keying in the context of single channel blind source separation, this method focuses on higher order modulation. This method is ...Show More
A New Direct Position Determination Algorithm using Multiple Arrays
Guohua Wang;Caicai Gao;Sirajudeen Gulam Razul;Chong Meng Samson See
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (5)
This paper proposes a new direct position determination (DPD) algorithm using multiple antenna arrays. In this method, the positions of emitters are estimated directly based on the cross-correlation matrix (CCM), which is obtained from the signals received at different arrays. As compared to conventional approaches based on direction of arrival and time difference of arrival, this method does not ...Show More
Fuzzified Histogram Equalization based Gamma Corrected Cosine Transformed Energy Redistribution for Image Enhancement
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (8)
A non-iterative fuzzy-based approach is proposed here, for image quality enhancement by processing image in histogram-domain followed by subsequent processing in the cosine-transformed domain. This method employs gamma correction through an adaptively derived gamma value-set, which is just an association of different gamma values for individual intensity levels. For proper evaluation of highly ada...Show More
Efficient EEG Signal Compression Algorithm with Long Length Improved Adaptive Arithmetic Coding and Advanced Division and Encoding Techniques
Publication Year: 2018,Page(s):1 - 5
Cited by: Papers (4)
Electroencephalogram signals reveals the activity of brain and is an important medial signal. In this paper, an efficient compression algorithm for the electroencephalogram signal is proposed. In addition to the improved adaptive arithmetic coding scheme we developed recently, the proposed algorithm also adopts the novel techniques of singular point segmentation, principal coefficient selection, t...Show More
Proactive caching holds the promise of improving network throughput and lowering transmission costs in content-centric networks. However, how to encode data in cache-aided networks is still an open problem. In this paper, a two-phase caching system is investigated, in which users are equipped with buffers and user requests are characterized by a probability measure. Based on content division, a un...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Digital Signal Processing (DSP), 2018 IEEE 23rd International Conference on
- Print on DemandPurchase at Partner
- External Hard-drivePurchase at Partner
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