The Experts below are selected from a list of 30 Experts worldwide ranked by ideXlab platform
R Vemuri - One of the best experts on this subject based on the ideXlab platform.
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robust adaptive algorithms for active Noise and vibration control
International Conference on Acoustics Speech and Signal Processing, 1990Co-Authors: H Fan, R VemuriAbstract:Adaptive algorithms are described which simultaneously estimate and track the two transfer functions online. No Random Noise Generator is required. Since both transfer functions are estimated, the resulting adaptive algorithms are much more robust than previous ones in that moving the transducer and/or the actuator around does not affect the performance much. Real-time implementation results for one of the algorithms presented are compared with results obtained using the LMS algorithm. It is found that the performance of the LMS algorithm depends greatly on the number of taps used, whereas the new algorithm is almost unaffected by this factor. This demonstrates the robustness of the new algorithm. >
H Fan - One of the best experts on this subject based on the ideXlab platform.
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robust adaptive algorithms for active Noise and vibration control
International Conference on Acoustics Speech and Signal Processing, 1990Co-Authors: H Fan, R VemuriAbstract:Adaptive algorithms are described which simultaneously estimate and track the two transfer functions online. No Random Noise Generator is required. Since both transfer functions are estimated, the resulting adaptive algorithms are much more robust than previous ones in that moving the transducer and/or the actuator around does not affect the performance much. Real-time implementation results for one of the algorithms presented are compared with results obtained using the LMS algorithm. It is found that the performance of the LMS algorithm depends greatly on the number of taps used, whereas the new algorithm is almost unaffected by this factor. This demonstrates the robustness of the new algorithm. >
Hafiz Attaul Mustafa - One of the best experts on this subject based on the ideXlab platform.
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detection of pseudo Random Noise Generator s parameters for link analysis
International Conference on Emerging Technologies, 2009Co-Authors: Hafiz Attaul MustafaAbstract:This paper presents the method how the parameters of Pseudo Random Noise Generator (PRNG) can be detected. The parameters to be detected include the primitive polynomial and the initial seed of the PRNG. Different test vectors of scrambled sequences are generated by changing the parameters of Linear Feedback Shift Register (LFSR). The test vectors are then passed one by one through the detection algorithm which calculates the weight difference for a range of primitive trinomials. Subsequently, the weight difference is calculated between the alphabets over GF(2) of decoded periods of LFSR The maximum weight difference thus obtained for specific polynomial depicts the most probable primitive trinomial. The initial seed of LFSR is then found by fixing the trinomial and calculating the weight difference for a range of seeds. The correct initial seed is depicted by the maximum weight difference.
Daeho Kim - One of the best experts on this subject based on the ideXlab platform.
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design of Random Noise Generator using sw algorithm
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies, 2003Co-Authors: Jinkeu Hong, Sunchu Park, Janghong Yoo, Jaeyoung Koh, Daeho KimAbstract:A Random Noise Generator uses a non-deterministic source to produce Randomness. Most operate by measuring unpredictable natural processes, such as thermal Noise, atmospheric Noise, or nuclear decay. Critical cryptography applications require the production of an unpredictable and unbiased stream of binary data derived from a fundamental Noise mechanism. In this paper, we proposed a Random Noise Generator with Gaussian Noise using filtering algorithm. The proposed scheme is designed to reduce the statistical property of the biased bit stream in the output of a Random Noise Generator.
Jim Williams - One of the best experts on this subject based on the ideXlab platform.
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a broadband Random Noise Generator
Analog Circuit Design#R##N#Volume 3: Design Note Collection, 2015Co-Authors: Jim WilliamsAbstract:A Random Noise Generator with selectable bandwidth and RMS voltage regulation is described.
