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A speech enhancement algorithm is proposed that exploits the masking properties of the human auditory system. A clean speech estimator is derived in such a way that both the signal distortion and residual noise are kept inaudible. Temporal as well as simultaneous masking effects are incorporated in estimation of the masking thresholds. The proposed speech enhancement algorithm is evaluated by log...
Local oscillator noise in sampling mixers is studied. A general model for the noise process is considered, and it is described how samples of this process can be obtained. The parameters in the noise model are estimated in four different ways from these data and a numerical study is presented
This paper presents an adaptive edge-preserving filter (AEPF) to remove the pixel cross-talk phenomenon of CMOS image sensor. As is widely known, the pixel crosstalk is due to the optical, electrical and architectural interferences and leads to the blocky formation after color interpolation. Although the conventional algorithms can eliminate the blocky formation, the edge false colors are also induced...
This paper presents a new segment-based stereo matching algorithm using a coarse-to-fine multiresolution strategy. In general, the multiresolution scheme was employed in a direct descending optimization to avoid matching in the local minimal. However, it is not effective in homogeneously textured regions and disparity discontinuous boundaries. We implement a novel hierarchical segment-based matching...
This paper reports on a new algorithm to detect the presence of a known acoustic signal in an unknown source. The algorithm, map seeking circuits, has been successfully used in the visual domain. The algorithm seeks to find an appropriate transform that will match a stored template to an unknown signal. The algorithm uses superposition to significantly reduce the computational complexity of searching...
In this paper, distributed maximum likelihood estimation for bandwidth constrained wireless sensor networks is investigated. We consider an estimation system that involves temporal and spatial domain observations. In particular, we consider the case where there are a total of K sensors, each making N temporal observations. We choose different K and N, but fix KN = M, which means that the total number...
The parametric Rao and generalized likelihood ratio test (GLRT) detectors, recently developed by exploiting a multi channel autoregressive (AR) model for the disturbance, has been shown to perform well with very limited or no training data. The AR model order, however, should be estimated by some model order selection technique. Standard non-recursive implementation of the parametric detectors is...
The general problem that we are trying to solve is sequential image-signal interpretation with the applicability of our work to the improvement of hearing aids. As part of this bigger problem, we would like to find a good way to sequentially estimate binary images from noisy gray images. The sequentially requirement is the main difficulty of our work; it arises from the real-time aspect of the application...
For the purpose of a realistic rendering of moving sound with no noticeable discontinuity, binaural synthesis of the time-varying sound field is performed by updating a dense grid of head related transfer functions, HRTFs. Unless the differences in HRTFs are sufficiently small, a direct switching between them will cause an audible artifact that is heard as a click. To avoid this problem and ensure...
Translating electrical engineering modules from connexions to create educational content in both English and Spanish has given birth to an idea for an ambitious project to bring high quality educational materials to the English and Spanish speaking populations of the world
Professors should understand the statistical performance of the examinations they give. The presented probability model for multiple choice tests (MCTs) is known by psychometricians as the simple knowledge or random guessing model, but is not well known outside this community. Yet it gives a good picture of the accuracy with which state of knowledge may be estimated. The knowledge state of a student...
Matrix pencils (MP) facilitate the study of differential equations resulting from oscillating systems. Certain problems in linear ordinary differential equations, such as speech processing, can be represented as the problem of finding a canonical pencil strictly equivalent to a given pencil. The MP is a direct data domain approach to estimate the signal's poles. The MP depends on only the data and...
This paper proposes a frequency domain estimation algorithm for feedforward active noise control systems. To configure an M-tap adaptive filter, this technique uses M-channel maximally decimated alias-free DFT-frequency sampling filter (DFT-FSF) banks which equipped with 1-tap adaptive filter in each subband. The use of the proposed frequency domain estimation algorithm enables more than 10 times...
Recently, sequential Monte Carlo methods have been used in the telecommunications field, finding application in receiver design. Several properties of these receivers make their designs very attractive. These receivers do not require channel state information or training. Therefore, they are bandwidth efficient and no communication bandwidth needs to be wasted on training. The receivers are optimal...
Based on the assumption that there are short periods of time in which only one source is active, a new approach for convolutive blind source separation (quasi-BSS) is proposed, which does not require the signals to be independent or identically distributed. In order to obtain a low-complexity iterative solution to the separation filters, an optimization method based on the affine projection adaptation...
This paper deals with the problem of adaptive reconstruction and identification of AR processes with randomly missing observations. A new real time algorithm is proposed. It uses combined pseudo-linear RLS algorithm and Kalman filter. It offers an unbiased estimation of the AR parameters and an optimal reconstruction error in the least mean square sense. In addition, thanks to the pseudo-linear RLS...
This paper proposes a two-stage dereverberation algorithm with integrated reverberation and noise estimation. In the first stage, an inverse filter to the room impulse response suppresses reverberation by early reflections. Minimum mean-square error short-time spectral amplitude estimator in the second stage minimizes influence of both late reflections and ambient noise, simultaneously. Due to this...
3D mesh parameterization which converts the complicated 3D mesh to the flat and non-overlapped 2D mesh is used for "texture-mapping" in order to make the correspondence between a texture-image and a 3D mesh in 2D space, and "remeshing" in order to convert polygonal meshes to the regular grid meshes equipped with customizability. In this paper, we propose a 3D mesh parameterization...
The problem of missing samples is described in the context of a beamforming operation. Tapering a complete, uniformly spaced sequence is shown to suppress beam sidelobes, but the taper fails to suppress sidelobes when uniformity of sample spacing is destroyed by missing samples. A linear mean square estimator (LMSE) is employed to interpolate the missing samples, thereby regaining sidelobe suppression...
A low-temperature superconductor multi-bit implicit-sampling analog-to-digital converter (ADC) architecture is proposed for wide bandwidth RF applications. The architecture selected differs in several respects from both an explicit-sampling Nyquist ADC and an over-sampling ADC. A high-speed axis-crossing detector senses the difference between the input signal and an appropriate reference signal that...
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