2020-01-01 · In , Choi considered a dynamic recurrent network (IIR filter) for the task of spatio-temporal decorrelation: (5) y (k) = x (k) + ∑ p = 0 L W p (k) y (k − p) where W p (k) ∈ R n × n, 0 ≤ p ≤ L denote the weight matrices, and L is the order of filter.

In this paper, we focus on accelerating the adaptation process in the FIR filter based decorrelation method. Firstly, the update equation is decoupled into spatial decorrelation and temporal decorrelation. Then, their respective convergence conditions are systematically analyzed using eigenvalue decomposing method.

IEEE Trans. Speech Audio Signal Process. , 5 6) B. Farhang-Boroujeny . (1998) Adaptive filters: theory and applications. 7) M. Mboup , M. Bonnet , N.J. Bershad . LMS coupled adaptive prediction and system identification: a … sound technology making use of decorrelation filters to provide an impact on the spatial imagery.

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. sound technology making use of decorrelation filters to provide an impact on the spatial imagery. Virtual Surround Sound system makes it possible to reproduce multi channel recording over an ordinary pair of stereo headphones. In the field of spatial hearing, signal decorrelation is known to have a dramatic impact on the 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) ALLPASS FILTERS FOR DECORRELATION Allpass ﬁlters are useful for signal decorrelation because they main- tain a ﬂat frequency response while effecting the phrase and group delay.

Wrapped phase maps obtained using interferometric speckle techniques are often corrupted with high-frequency noise, typically due to speckle decorrelation (Aebischer and Waldner, 1999). Image processing using a low-pass averaging filter is often used to reduce the noise content. A low-pass filter kernel typically takes the form

even frequencies in the one output signal and odd frequencies in the second output signal. 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.

Decorrelation of audio signals is a critical step for spatial sound reproduction on multichannel configurations. Correlated signals yield a focused phantom source between the reproduction loudspeakers and may produce undesirable comb-filtering artifacts when the signal reaches the listener with small phase differences.

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Wrapped phase maps obtained using interferometric speckle techniques are often corrupted with high-frequency noise, typically due to speckle decorrelation (Aebischer and Waldner, 1999). Image processing using a low-pass averaging filter is often used to reduce the noise content. A low-pass filter kernel typically takes the form 2020-01-01 · In , Choi considered a dynamic recurrent network (IIR filter) for the task of spatio-temporal decorrelation: (5) y (k) = x (k) + ∑ p = 0 L W p (k) y (k − p) where W p (k) ∈ R n × n, 0 ≤ p ≤ L denote the weight matrices, and L is the order of filter. 2013-04-12 · A decorrelation filter can be numerically obtained by solving a nonlinear optimization problem. This technique can also be applied to other linear separation methods, whose output signals are decorrelated, such as ICA. For the decorrelation of such data, which is often applied for the efficient estimation of parametric data models, discrete filters have proven to be both highly flexible and numerically efficient. Standard filter techniques are, however, often not suitable for eliminating strong local fluctuations or trends present in the noise spectral density. Decorrelation methods seek to maximise the randomness of the phse between the two signals.
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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. In nature decorrelation is a product of the delay, reverberation and filtering properties of any room or space.

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.
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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.

This paper describes a new framework for extracting the target signal in diffuse noise environments.