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Simulation Modeling and Optimization Technique For Balanced Surface Acoustic Wave Filters

by Kiyoharu Tagawa
"... Abstract: An optimum design technique for balanced surface acoustic wave (SAW) filters is proposed. First of all, in order to evaluate the performance of balanced SAW filters by the computer simulation, a numerical model of balanced SAW filters is derived by using mixed-mode scattering parameters. T ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Abstract: An optimum design technique for balanced surface acoustic wave (SAW) filters is proposed. First of all, in order to evaluate the performance of balanced SAW filters by the computer simulation, a numerical model of balanced SAW filters is derived by using mixed-mode scattering parameters

DESIGN OF OVERSAMPLED DFT MODULATED FILTER BANKS OPTIMIZED FOR ACOUSTIC ECHO CANCELLATION

by Qin Li, Wei-ge Chen, Chao He, Henrique S. Malvar
"... This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements typically are good echo cancellation quality, low delay, small reconstruction error, and low computation complexity. Our ..."
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This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements typically are good echo cancellation quality, low delay, small reconstruction error, and low computation complexity

Combined Acoustic Echo and Noise Reduction using GSVD-based Optimal Filtering

by Simon Doclo, Erik De Clippel, Marc Moonen - in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2000 , 2000
"... This paper describes two schemes for combining acoustic echo and noise reduction using a GSVD-based optimal ltering technique. The GSVD-based ltering technique is a signal enhancement technique which has recently been proposed for noise reduction in multi-microphone speech signals. In many speech co ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
This paper describes two schemes for combining acoustic echo and noise reduction using a GSVD-based optimal ltering technique. The GSVD-based ltering technique is a signal enhancement technique which has recently been proposed for noise reduction in multi-microphone speech signals. In many speech

ACOUSTIC MODELING OF FAN NOISE GENERATION AND SCATTERING IN A MODULAR DUCT SYSTEM

by Marten Nijhof, Marco Beltman, André De Boer
"... Fan noise is an important noise source in computers. The noise spectrum of fans contains tonal noise, found at the so-called Blade Passing Frequency (BPF) and its higher harmonics, that plays an important role in the perceived sound quality. An acoustic resonator integrated in the duct of an in-duct ..."
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Fan noise is an important noise source in computers. The noise spectrum of fans contains tonal noise, found at the so-called Blade Passing Frequency (BPF) and its higher harmonics, that plays an important role in the perceived sound quality. An acoustic resonator integrated in the duct of an in

On the Optimality of Subband Adaptive Filters

by Stephan Weiss, Robert W. Stewart - IEEE Transactions on Signal Processing, submitted , 1999
"... In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive filter (SAF) system. The structure of this optimum solution deviates from the standard SAF approach and presents its best possible solution only as an approximation. Besides this new insight into SAF ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
approach to a number of problems such as acoustic echo cancellation [1, 2], identification of room acoustics [3], equalization of acoustics [4], or beamforming [5], where high computational cost can be reduced by processing in decimated subband signals. In Fig. 1, a subband adaptive filter (SAF) is shown

Sensor node localization using mobile acoustic beacons. The 2nd

by Manish Kushwaha, Károly Molnár, János Sallai, Péter Völgyesi, Miklós Maróti, Ákos Lédeczi - IEEE International Conference (MASS 05 , 2005
"... Abstract — We present a mobile acoustic beacon based sensor node localization method. Our technique is passive in that the sensor nodes themselves do not need to generate an acoustic signal for ranging. This saves cost, power and provides stealthy operation. Furthermore, the beacon can generate much ..."
Abstract - Cited by 13 (1 self) - Add to MetaCart
much more acoustic energy than a severely resource constrained sensor node, thereby significantly increasing the range. The acoustic ranging method uses a linear frequency modulated signal that can be accurately detected by matched filtering. This provides longer range and higher accuracy than

Submodular feature selection for high-dimensional acoustic score spaces

by Yuzong Liu, Kai Wei, Katrin Kirchhoff, Yisong Song, Jeff Bilmes - In ICASSP , 2013
"... We apply methods for selecting subsets of dimensions from high-dimensional score spaces, and subsets of data for training, using submodular function optimization. Sub-modular functions provide theoretical performance guaran-tees while simultaneously retaining extremely fast and scal-able optimizatio ..."
Abstract - Cited by 9 (6 self) - Add to MetaCart
We apply methods for selecting subsets of dimensions from high-dimensional score spaces, and subsets of data for training, using submodular function optimization. Sub-modular functions provide theoretical performance guaran-tees while simultaneously retaining extremely fast and scal

Analysis the Results of Acoustic Echo Cancellation for Speech Processing using LMS Adaptive Filtering Algorithm

by Ranbeer Tyagi, Dheeraj Agrawal
"... The Conventional acoustic echo canceller encounters problems like slow convergence rate (especially for speech signal) and high computational complexity as the identification of the echo path requires filter with more than a thousand taps, non-stationary speech input, slowly timevarying systems to b ..."
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The Conventional acoustic echo canceller encounters problems like slow convergence rate (especially for speech signal) and high computational complexity as the identification of the echo path requires filter with more than a thousand taps, non-stationary speech input, slowly timevarying systems

Realtime implementation of a particle filter with integrated voice activity detector for acoustic speaker tracking

by Anders M Johansson , Eric A Lehmann , Sven Nordholm - in Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems (APCCAS ’06 , 2006
"... Abstract-In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficulties. One of the main issues when considering real-world situations involving human speakers is the temporally disco ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
circumvents this problem by integrating measurements from a voice activity detector (VAD) within the tracking algorithm framework. The algorithm is here optimized for low computational complexity, and is implemented on a PC based real-time system. The resulting computational load is calculated

Integrated Doppler Tracking and Effi cient Resampling for Phase-Coherent Acoustic Communication

by n.n.
"... A computationally efficient method for integrating Doppler frequency shift estimation and sample rate interpolation of an acoustic communication signal in a time-varying environment is proposed. The estimation of the Doppler shift is performed using a second-order phase-locked loop in conjunction wi ..."
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bank which is optimized in the least-squares sense for fractionally-spaced sampling. The total computational requirement is proportional to the size of the interpolation filters and the update rate of the interpolator, which is made efficient through use of a pre-computed filter bank. The size
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