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The aim of this study was to compare quantitatively the difference in Surface Electromyography (sEMG) features between healthy subjects and low back pain (LBP) patients. We recruited thirty LBP patients and thirty healthy subjects. They performed maximum voluntary flexion (MVF), while sEMG data were collected from the multifidus, external oblique and transverse abdominal muscles. We used Integrated...
Canonical Correlation Analysis (CCA) is a standard tool in statistical analysis that measures the linear relationship between two data sets. In this paper, a multi-biometric approach which combines palm print feature and palm vein feature based on Canonical Correlation Analysis is proposed. First, using a series of pre-processing and extracted the ROI (Region of interest) which has enhanced of the...
Accurate channel state information (CSI) at transmitter is of importance to sufficiently exploit the merits of massive multiple input multiple output (MIMO). Because of the large amount of antennas at base station (BS), the pilot overhead becomes unaffordable, especially in frequency-division duplexing (FDD) massive MIMO systems. To alleviate the overwhelming pilot overhead, a novel channel estimation...
Transform domain communication system (TDCS) is a potential candidate for cognitive radio (CR). It is immune to the interception and has the characteristics of high spectral utilization. Nevertheless, large peak-to-average power ratio (PAPR) of the time domain signal inherently makes TDCS particularly sensitive to nonlinear distortion caused by the high power amplifier (HPA). In this paper, we analyze...
One of 5G communication typical scenarios is machine-to-machine communication with large number of devices, which proposes new requirements for uplink transmission. Filter bank multi-carrier with offset quadrature amplitude modulation (FBMC/OQAM) is one of the popular nonorthogonal waveform candidates for 5G transmission. In this paper, FBMC/OQAM and cyclic prefix OFDM with single antenna settings...
In coded multiuser tracking and data relay satellite system (TDRSS) return link, multiple access interference and inter-symbol interference are major impediment to reliable communication. While the optimal soft-input soft-output multiuser detection scheme results in a prohibitive computational complexity. In this paper, a simplified hard-input soft-output (HISO) scheme for low-density parity-check...
Traditional VLAD method only uses the SITF feature. Since the SITF feature represents the local gradient information, thus VLAD representation based on SITF feature of image has low discriminative power. To address the problem, we present a simple and effective method that fuse the VLAD vectors based on local gradient and color information. Also, in order to improve the retrieval accuracy and reduce...
In this paper, we present a method of estimating the vanishing point from the railway environment images. Vanishing point plays a very important role in the machine vision based railway-environment surveillance methods, e.g. estimating the pose of the camera, video segmentation and panorama. In the application of railway-environment surveillance, we most care about the vanishing point corresponding...
With the development of the hyperspectral sensor technologies, the spatial and spectral resolution of Hyperspectral Image (HSI) have been improved largely. In this case, objects are made up of several pixels which may belong to different materials. It is difficult to separate hyperspectral data with the traditional hyperspectral image classification algorithms. Therefore, based on spatial spectral...
Image matching is a classic technique in computer vision. However, the traditional local invariant features image matching algorithm has two problems, narrow scale range and long time consuming. Aiming at these problems, we proposed a fast image matching algorithm with the aid of improved local invariant features based on Locality-Sensitive Hashing. Firstly, by building simple Gaussian pyramid and...
A on-board ship targets detection method based on multi-scale salience enhancement is proposed. Unlike the traditional wavelet filter enhancement methods, the proposed utilizes the wavelet decomposition to obtain the high-low frequency parts, and estimate the salience feature with both parts, which enhance the ship targets efficiently. First, decompose the remote sensing image by 2-D DWT, and obtain...
This paper proposes a cognitive radio frequency (RF) stealth radar using phased array (PA) for surveillance applications. Since the traditional surveillance systems are accessible by intercept receivers, the series of low-gain beam is used to reduce the visibility of this system. The traditional high-gain PA antenna beam is replaced by the novel beam. And the original detection performance isnot degraded...
Future applications demand military radio systems that can handle higher frequencies and greater bandwidth, whereas the real-time and high-precision radio frequency (RF) spectrum detection can be hardly realized due to the volume and power consumption of traditional RF devices. Through the development of photonic technology, it is perceived that photonic technology will become the new analog signal...
In this paper, a FMCW radar Material level measurement system is described. The structure of the measurement system and the methods of digital signal processing for the system are present. FFT algorithm is used to isolate the various frequency components of difference frequency signal in order to approximately estimate the range of target. Then the Chirp-Z algorithm is employed to process the difference...
This paper proposes a probabilistic Latent Emotion Analysis (pLEA) model, which is an extension of probabilistic Latent Semantic Analysis (pLSA) model, to discover latent emotion topics considering theoretical and empirical concepts from psychology and art theory. The traditional pLSA models performed poorly since the statistical model are hardly narrowing the semantic gap between low-level image...
An objective no-reference video quality assessment method is proposed to evaluate the video quality in voice over Internet protocol (VoIP) applications under network distortion. In order to assess the distortions of videos in VoIP applications caused by codec and packet loss, the method evaluates the quality of received videos by calculating the block artifacts and blurring. Video blocking artifacts...
Detection of ship targets in the sea area is an important field in remote sensing image target detection. As the ships and the surrounding areas are very different in texture, that makes it a possible solution to detect the ships using the texture feature. Aiming at the detection of ship targets, a novel ship target detection algorithm in a large scene of the optical remote sensing image is proposed...
The symmetric positive-definite (SPD) matrices form a Riemannian manifold, and sparse representation on the SPD matrix manifold has received increasingly attentions recently. In this paper, we propose a semantic and neighborhood preserving dictionary learning method for the sparse representation on the SPD matrix manifold. The semantic preserving ensures that the semantic similarity information can...
Determining Voice Onset Time (V OT) in speech is a challenging problem, because it combines temporal and very short duration. VOT is important to detect and classify languages and dialects. This paper is important because of the lack of research in the field of speech processing in Arabic language. Detection of VOT by manually is feasible, but it becomes a time consume when the database is large....
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