A frequency-dependent warping is applied to the decorrelation filter. The warped decorrelation filter is then mixed with a carrier filter to generate the hybrid filter. The carrier filter may include filters for spatial processing of an audio signal, filters for upmixing an audio signal, and/or filters for downmixing an audio signal.

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2021-03-22 Since the introduction of feedforward-feedback comb allpass filters by Schroeder and Logan, its popularity has not diminished due to its computational efficiency and versatile applicability in artificial reverberation, decorrelation, and dispersive system design. In this work, we present an extension to the Schroeder allpass filter by introducing frequency-dependent feedforward and feedback Two decorrelation filters are necessary to decorrelate two signals that are fed into the NLMS adaptive filter as shown in Figure 2. This structure is very simple and efficient since there is no need to use inverse decorrelation filters. 1.3. Voice activity detection A short-term magnitude estimation of … Correlation Filters with Weighted Convolution Responses Zhiqun He1∗, Yingruo Fan1∗, Junfei Zhuang1∗, Yuan Dong1,2, HongLiang Bai2 1Beijing University of Posts and Telecommunications, 2 Beijing FaceAll Co. {he010103, evelyn}@bupt.edu.cn {junfei.zhuang, yuan.dong, hongliang.bai}@faceall.cn 2014-02-27 Decorrelation: Decorrelation is a common pre-processing step for classiﬁcation [17, 15]. In recent work, Hariharan et al.

SEARCHING FOR THE The proposed non-linear processing combines a shaped comb-allpass (SCAL) filter with the injection of psychoacoustically masked noise. We show that the Jun 2, 2014 The approach involves decorrelating both the original and filtered data by joint diagonalization of their covariance matrices. We trace its origins; When correcting spatial decorrelation using this equa- tion, we need to make sure that no bandpass filtering is done during the processing. The temporal FILTRODISC depth filtration modules are used in a sealed DISCSTAR™ housing and were enable large filter areas to be handled easily. Colorfil HVAC furnace air filters help remove odors and chemicals from the air that other filters can't. Backed by NASA, NSF, and US Army.

Here, a decorrelation filter using GRACE orbits for its design is most efficient all most important hydrological processes and an equal filtering of both data sets. av M Chion — konstaterade vi både när det gällde ickelineära filter och i förbindelse med återkopplade The Decorrelation of Audio Signals and Its Impact on Spatial Imagery.

Decorrelation is a general term for any process that is used to reduce autocorrelation within a signal, or cross-correlation within a set of signals, while preserving other aspects of the signal. A frequently used method of decorrelation is the use of a matched linear filter to reduce the autocorrelation of a signal as far as possible.

An audio signal processing method and apparatus for adaptively adjusting a decorrelator. The method comprises obtaining a control parameter and calculating mean and variation of the control parameter.

You may think of this as filtering out all the wavelengths the instrument should not “care about.” In order for positive filtering to be completely effective, the analyzer must filter out The current paper presents a method to generate decorrelation filters for three - dimensional loudspeaker arrays with arbitrary angular spacing as well as for binaural configurations. Correlation Filters with Weighted Convolution Responses Zhiqun He1∗, Yingruo Fan1∗, Junfei Zhuang1∗, Yuan Dong1,2, HongLiang Bai2 1Beijing University of Posts and Telecommunications, 2 Beijing FaceAll Co. {he010103, evelyn}@bupt.edu.cn {junfei.zhuang, yuan.dong, hongliang.bai}@faceall.cn Abstract Cepstral coefficients are widely used in speech recognition. In this paper, we claim that they are not the best way of representing the spectral envelope, at least for some usual speech recognition systems. In fact, cepstrum has several disadvantages: poor physical meaning, need of transformation, and low capacity of adaptation to some recognition systems. In this paper, we propose a new In this thesis we extend the filter design paradigm to structured prediction tasks i.e., tasks that involve predicting structured outputs (outputs with complex internal structure like object bounding boxes in images) instead of a small or simple set (like a single binary or real output) through the application of biometric key-binding which is posed as a structured prediction problem.

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Figure 2 illustrates signal de-correlation for a pair of signals x1(t) and x2(t).

Since the performance of the usually applied LMS adaptation suffers from correlations of the input Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter @article{Acar2021DecorrelationOP, title={Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter}, author={Duygu Acar and U. Orguner}, journal={IEEE Transactions on Aerospace and Electronic Systems}, year={2021}, volume={57}, pages={404-422} } Stochastic Spectral Decorrelation Filter The projection algorithm outputs a dataset that can undergo additional ﬁltering during ﬁnal beam-forming and imaging.
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av N Grip · 2009 — Pyramid algorithm / filter banks / Mallat's algorithm 4), second pass denoised seeking decorrelation between the noise model and the original

Ratio of the variation and mean of the control parameter is calculated, and a decorrelation parameter is calculated based on the said ratio. The decorrelation parameter is then provided to a ehanges the action of the filter from pure decorrelation (which in this model is, in effect, a high-pass operation) to pure convolution (which is a low pass model). Judicious choice of K enhances specific spatial frequeney eomponents of the image, allowing the same filter to bring out different features.

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This paper describes a new framework for extracting the target signal in diffuse noise environments. We utilize crystal arrays, a certain class of symmetrical microphone arrays with crystal-like geometries, which enable interchannel decorrelation of isotropic noise without knowing the value of its covariance matrix. We refer to this decorrelation as blind noise decorrelation.

Aug 2, 2012 Note that this high-frequency effect is absent in networks with more realistic low- pass filtering synapses (Fig. 2 C,D) and in purely inhibitory Oct 14, 2013 Echo decorrelation imaging for guidance of ultrasound ablation the image- guidance and therapeutic coordinate systems, (3) echo decorrelation imaging, providing real-time Language: English Mature content filter: No be characterized by the constraint of a triangular filter matrix. A randomly sampled pared with that of other linear decorrelation filters.

In general, the de-correlation filtering can be a linear process (such as linear spectrum shaping or linear prediction filtering, LP) or a non-linear process (such as linear prediction coding, LPC). Figure 2 illustrates signal de-correlation for a pair of signals x1(t) and x2(t). Figure 2: De-correlation filters for signal x1(t) and x2(t)

decorrelation filter subtracts the effect of channel distortion in the log-spectral domain and normalizes an unknown channel from the viewpoint of the linear-spectral domain. Fig. 1. Block diagram performing blind decorrelation based on an information-maximization approach. Blind decorrelation filtering (W) Activation function It is commonly known that speckle decorrelation limits the possibility to measure large deformations by electronic speckle pattern interferometry (ESPI). We present here a method to lift this limitation and show that ESPI can now be used to measure large deformations, even in a hostile environment. 2020-01-01 Translations in context of "decorrelation filters" in English-French from Reverso Context: the arrangement may provide improved echo-cancellation for scenarios wherein the rendering of sound from the audio sources is time varying, such as when time varying decorrelation filters are used.

The decorrelation process may involve using a GOCE satellite gravity gradiometry (SGG) data are strongly autocorrelated within the various tensor components. Consideration of these correlations in the least-squares adjustment for gravity field Filter responses Channel weights = Channel weights Figure 1: Overview of the proposed CSR-DCF approach. An automatically estimated spatial reliability map restricts the correlation ﬁlter to the parts suitable for tracking (top) improving the search range and performance for irregularly shaped objects. Channel reliability weights calculated in As the chosen approach identifies non-stationary parts of the time-series and outliers, the decorrelation filters are estimated from clean data only.