868 resultados para BLIND EQUALIZATION
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Report on the Iowa Department for the Blind for the year ended June 30, 2013
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Audit report on the National Deaf-Blind Equipment Distribution Program administered by the Iowa Utilities Board Division of the Iowa Department of Commerce for the year ended June 30, 2013
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Audit report on the National Deaf-Blind Equipment Distribution Program administered by the Iowa Utilities Board Division of the Iowa Department of Commerce for the year ended June 30, 2014
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A variety of studies have demonstrated enhanced blood oxygenation level dependent responses to auditory and tactile stimuli within occipital cortex as a result of early blindness. However, little is known about the organizational principles that drive this cross-modal plasticity. We compared BOLD responses to a wide variety of auditory and tactile tasks (vs. rest) in early-blind and sighted subjects. As expected, cross-modal responses were larger in blind than in sighted subjects in occipital cortex for all tasks (cross-modal plasticity). Within both blind and sighted subject groups, we found patterns of cross-modal activity that were remarkably similar across tasks: a large proportion of cross-modal responses within occipital cortex are neither task nor stimulus specific. We next examined the mechanisms underlying enhanced BOLD responses within early-blind subjects. We found that the enhancement of cross-modal responses due to early blindness was best described as an additive shift, suggesting that cross-modal plasticity within blind subjects does not originate from either a scaling or unmasking of cross-modal responsivities found in sighted subjects.
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This leaflet gives information on the Iowa Library Commission and the added service of the circulation of books for the blind to the Traveling Library. Their goal is to make books available to every blind person who desires books.
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The antihypertensive effect of indapamide (2.5 mg/day) was compared to that obtained with a placebo in a controlled trial carried out by 11 physicians in their private practice. Thirty-one patients with uncomplicated essential hypertension were included. After a run-in period of 3 weeks without any treatment, either indapamide (n = 16) or a placebo (n = 15) were administered for 8 weeks in double-blind fashion. Blood pressure decreased in both groups. In patients treated with indapamide, systolic pressure was significantly lower than in those given the placebo at 3 out of the 4 follow-up visits; diastolic pressure, however, was significantly lower only at the end of the trial. Both the active drug and the placebo were well tolerated. No significant change in body weight, plasma potassium and uric acid occurred during the study in either group of patients. It appears therefore that indapamide, at a dose which apparently has no major diuretic effect, may be useful for practitioners in managing patients with mild to moderate hypertension.
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The Iowa Department for the Blind is the means for persons who are blind to obtain for themselves universal accessibility and full participation as citizens in whatever roles they may choose, including roles that increase family income, create jobs, improve educational outcomes, and reduce reliance on public services.
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Agency Performance Plan
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Agency Performance Plan
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A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that the proposed algorithms perform efficiently, even in the presence of hard distortion. The method, based on the minimization of the output mutual information, needs the knowledge of log-derivative of input distribution (the so-called score function). Each algorithm consists of three adaptive blocks: one devoted to adaptive estimation of the score function, and two other blocks estimating the inverses of the linear and nonlinear parts of the channel, (quasi-)optimally adapted using the estimated score functions. This paper is mainly concerned by the nonlinear part, for which we propose two parametric models, the first based on a polynomial model and the second on a neural network, while [14, 15] proposed non-parametric approaches.
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An e cient procedure for the blind inversion of a nonlinear Wiener system is proposed. We proved that the problem can be expressed as a problem of blind source separation in nonlinear mixtures, for which a solution has been recently proposed. Based on a quasi-nonparametric relative gradient descent, the proposed algorithm can perform e ciently even in the presence of hard distortions.
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When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis. In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum mutual information algorithm. Simulation results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased. On the other hand, cubic spline interpolation also obtains similar good results, but due to its intrinsic complexity, the global algorithm is much more slow and hence not useful for our purpose.
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It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner as spatial independence is used for source separation. In this paper we propose the use of a Genetic Algorithm (GA) to blindly invert linear channels. The use of GA is justified in the case of small number of samples, where other gradient-like methods fails because of poor estimation of statistics.
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In this paper we present a method for blind deconvolution of linear channels based on source separation techniques, for real word signals. This technique applied to blind deconvolution problems is based in exploiting not the spatial independence between signals but the temporal independence between samples of the signal. Our objective is to minimize the mutual information between samples of the output in order to retrieve the original signal. In order to make use of use this idea the input signal must be a non-Gaussian i.i.d. signal. Because most real world signals do not have this i.i.d. nature, we will need to preprocess the original signal before the transmission into the channel. Likewise we should assure that the transmitted signal has non-Gaussian statistics in order to achieve the correct function of the algorithm. The strategy used for this preprocessing will be presented in this paper. If the receiver has the inverse of the preprocess, the original signal can be reconstructed without the convolutive distortion.
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A system in which a linear dynamic part is followed by a non linear memoryless distortion a Wiener system is blindly inverted This kind of systems can be modelised as a postnonlinear mixture and using some results about these mixtures an e cient algorithm is proposed Results in a hard situation are presented and illustrate the e ciency of this algorithm