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In this paper, we present a novel iterative median filter based strategy to improve the quality of the depth maps provided by sensors like Microsoft Kinect. The quality of the depth map is improved in two aspects, by filling holes present in the maps and by addressing the random noise. The holes are filled by iteratively applying a median based filter which takes into account the RGB components as...
Infrared structured light sensors are widely employed for control applications, gaming, acquisition of dynamic and static 3D scenes. Recent developments have lead to the availability on the market of low-cost sensors which prove to be extremely sensitive to noise, light conditions, materials, the surface nature of the objects, and their distance from the camera. As a matter of fact, accurate denoising...
Current sensing amplifier is one of the basic blocks in biosensing interfaces as current-related phenomena are at the base of biological and chemical interfaces. A wide number of papers have been published in literature on the subject showing both continuous time (CT) and discrete time (DT) approaches. Among them, CT solutions show better performance in terms of input-referred noise floor due to the...
Cardiovascular data recording by implantable sensor modules exhibits a number of advantages over extra-corporeal standard approaches. Implantable sensors feature their benefits in particular for high risk patients suffering from chronic heart diseases, because diagnosis can be combined with therapy in a closed loop system. Nevertheless, the measured photoplethysmographic signals reveal different kinds...
In recent years, three-dimensional imaging by means of SAR tomography has become a field of intensive research. In SAR tomography, the vertical reflectivity function for every azimuth-range pixel is usually recovered by processing data collected using a defined repeat pass acquisition geometry. The most common approach is to generate a synthetic aperture in the elevation direction through imaging...
This paper studies the statistical properties of the gain functions, which are often used for two-channel post-filtering (TC-PF) algorithms. We reveal that the smoothing factor has a significant impact on both noise reduction and musical noise. When the smoothing factor increases, noise reduction can be improved and musical noise can be reduced simultaneously. However, the smoothing factor could not...
Sensorless force sensation by disturbance observer has been widely employed in numerous applications due to its superiority to the measurement by a force sensor. This paper introduces the development of the disturbance observer to obtain the high performance force sensing with a wideband force sensation. In this paper, a multi-sensor data fusion by Kalman-filter algorithm is exploited for velocity...
In nuclear power plant, pipeline safety is essential to the safe operation of nuclear reactor. According to the operational characteristics and the environment where nuclear pipelines are situated, a proposal on leakage detection and location of nuclear pipelines is given, which depends on the combination negative pressure wave method with wavelet transform. The negative pressure wave method is possessed...
In this paper, we propose an active noise reduction system (ANRS) for active noise barriers (ANB) along with a 2×2×2 multi-channel active noise control (ANC) technique. The ANRS, a Y-shaped structural device, operates as a cost-effective ANC system which can be easily installed on the top of existing passive noise barriers. To reduce the diffracted noise behind the barriers, we focus on sound pressure...
In this paper we propose a new footstep detection technique for data acquired using a triaxial geophone. The idea evolves from the investigation of geophone transduction principle. The technique exploits the randomness of neighbouring data vectors observed when the footstep is absent. We extend the same principle for triaxial signal denoising. Effectiveness of the proposed technique for transient...
A micropower high-gain, low-noise differential difference amplifier (DDA) is presented in this paper. The new circuit incorporates the gate-bulk driven transistor pairs for input stage transconductance enhancement; the very high gain folded telescopic cascode structure that permits small headroom operation; and the replica tracking bias that sustains the circuit performance against variations of process,...
This paper concerns artifact removal from multichannel EEG data. It has already been demonstrated that independent component analysis (ICA) can be an effective and applicable method for EEG de-noising. The goal of this paper is to propose a framework, based on ICA and wavelet denoising (WD), to improve the pre-processing of EEG signals. In particular we employ the concept of spatially constrained...
Cooperative energy spectrum sensing has been proved effective to detect the spectrum holes in Cognitive Radio (CR). However, few studies make mention of wavelet transform based signal processing before energy detection. In this paper, a novel cooperative energy spectrum sensing algorithm with 1-D or 2-D wavelet denoising is proposed. The 1-D wavelet denoising is performed at each sensing node, while...
The accuracy and precision of diagnostic features in a Prognostics and Health Management (PHM) system depends on the feature's sensitivity to not only signal quality or signal-to-noise ratio (SNR), but also failure modes and operating conditions. The data acquired in real applications are not only a measure of the direct response of the system of interest, but also unwanted noises or abnormal signals...
Nonparametric Bayesian techniques are considered for learning dictionaries for sparse data representations, with applications in sparse rendering of sensor data. The beta process is employed as a prior for learning the dictionary, and this nonparametric method naturally infers an appropriate dictionary size. The proposed method can learn a sparse dictionary, and may also be used to denoise a signal...
Whether it is classic filter denoising, Fourier transform denoising, or the emerging wavelet transform denoising, a common characteristic is that denoising is only limited to some transform field. Also, these denoising methods are influenced greatly by the change of signal parameters, such as frequency, amplitude, etc. In order to effectively overcome the above-mentioned shortcomings of these denoising...
This paper introduces the concept of image fusion of noisy images for impulse noise reduction. Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple image fusion is an important technique used in military, remote sensing and medical applications. This paper introduces an image fusion technique for impulse noise...
In theory the linearly constrained minimum variance (LCMV) beamformer can achieve perfect dereverberation and noise cancellation when the acoustic transfer functions (ATFs) between all sources (including interferences) and the microphones are known. However, blind estimation of the ATFs remains a difficult task. In this paper the noise reduction of the LCMV beamformer is analyzed and compared with...
Cognitive radio (CR) is viewed as a novel approach for improving the utilization of radio electromagnetic spectrum resource, and spectrum detection is an important step of CR. As the traditional methods are detecting every channel orderly, and it does not satisfy the real-time needs of CR, a detection algorithm based on blind signal separation is proposed in this paper. Through the sensors, the mixed...
Image denoising algorithm based on independent component analysis is proposed. The standard independent component analysis algorithm require that the number of sensors is more than or equal to that of sources, so it is impossible to apply independent component analysis to single channel image denoising directly. In this paper, a single channel image denoising algorithm is proposed by constructing...
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