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Sze Fong Yau
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2000 – 2009
- 2003
- [c20]Tak Keung Yeung, Sze Fong Yau:
Convergence analysis of multichannel ANC system using FXLMS algorithm with inexact secondary path model. ICASSP (5) 2003: 576-579 - 2001
- [c19]Tak Keung Yeung, Sze Fong Yau:
A modified overall on-line modeling algorithm for the feedforward multiple-point ANC system. ICASSP 2001: 3205-3208 - 2000
- [j12]Sze-Fong Yau, Ying Ha Chiu:
Iterative method for tomographic reconstruction of time-varying objects. J. Electronic Imaging 9(1): 5-15 (2000) - [j11]Chunqi Chang, Zhi Ding, Sze-Fong Yau, Francis H. Y. Chan:
A matrix-pencil approach to blind separation of colored nonstationary signals. IEEE Trans. Signal Process. 48(3): 900-907 (2000) - [j10]Chor Tin Ma, Zhi Ding, Sze-Fong Yau:
A two-stage algorithm for MIMO blind deconvolution of nonstationary colored signals. IEEE Trans. Signal Process. 48(4): 1187-1192 (2000) - [j9]Sze-Fong Yau, Yoram Bresler:
Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals. IEEE Trans. Signal Process. 48(5): 1274-1286 (2000)
1990 – 1999
- 1999
- [c18]Wai Kuen Lai, Ting Wai Siu, Sze-Fong Yau:
High quality signal reception in the presence of stationary interference-a blind signal separation approach. ICASSP 1999: 889-892 - [c17]Tak Keung Yeung, Sze Fong Yau:
Feedforward ANC system using adaptive FIR filters with on-line secondary path identification. ICECS 1999: 675-678 - [c16]Tak Keung Yeung, Sze-Fong Yau:
A multi-input multi-output adaptive FIR filter with guaranteed convergence for feedforward ANC system. ISCAS (3) 1999: 17-20 - [c15]Ting Wai Siu, Sze-Fong Yau, Wai Kuen Lai:
An adaptive projection pursuit filter for separating stationary interferences from nonstationary signals. ISCAS (3) 1999: 162-165 - 1998
- [j8]Shun Him Wong, Sze-Fong Yau:
Linear neural network for the solution of limited angle problems in computer-aided tomography. J. Electronic Imaging 7(1): 70-78 (1998) - [j7]Ka Lok Yeung, Sze-Fong Yau:
A cumulant-based super-exponential algorithm for blind deconvolution of multi-input multi-output systems. Signal Process. 67(2): 141-162 (1998) - [c14]Chunqi Chang, Zhi Ding, Sze-Fong Yau, Francis H. Y. Chan:
A matrix-pencil approach to blind separation of non-white sources in white noise. ICASSP 1998: 2485-2488 - 1997
- [c13]Jie Gu, Sze-Fong Yau:
A model-based approach to active noise cancellation using loudspeaker array. ICASSP 1997: 379-382 - 1996
- [j6]Sze-Fong Yau, Durgesh Srivastava, Shiu Wing Tso:
Image coding using generalized optimal subband decomposition and vector quantization. Signal Process. Image Commun. 8(2): 161-168 (1996) - [j5]Sze-Fong Yau, Yoram Bresler:
On the robustness of parameter estimation of superimposed signals by dynamic programming. IEEE Trans. Signal Process. 44(11): 2825-2836 (1996) - [c12]K. M. Cheung, Sze-Fong Yau:
Statistical Analysis and Crb Study of Modified Doa-Dependent Perturbations. ISSPA 1996: 349-352 - 1995
- [c11]K. M. Cheung, Sze-Fong Yau:
Blind deconvolution of system with unknown response excited by cyclostationary impulses. ICASSP 1995: 1984-1987 - 1994
- [c10]Kai-Kou R. Yu, Sze-Fong Yau:
Sampling of two-dimensional signals below Nyquist density with application to computer aided tomography. ICASSP (5) 1994: 301-304 - [c9]Ying Ha Chiu, Sze Fong Yau:
Tomographic reconstruction of time-varying object from linear time-sequential sampled projections. ICASSP (5) 1994: 309-312 - [c8]K. M. Cheung, Sze-Fong Yau:
A Novel Method in Compensating Random Perturbations in Eigen-Based Subspace Method. ISCAS 1994: 37-40 - [c7]Ying Ha Chiu, Sze-Fong Yau:
Training of Artificial Neural Network for Tomographic Reconstruction of Time Varying Object. ISCAS 1994: 225-228 - [c6]Kai-Kou R. Yu, Sze-Fong Yau:
Solution of the Missing Cure Problem by Artificial Neural Network. ISCAS 1994: 467-470 - 1993
- [j4]Sze-Fong Yau, Yoram Bresler:
Maximum likelihood parameter estimation of superimposed signals by dynamic programming. IEEE Trans. Signal Process. 41(2): 804-820 (1993) - [c5]Sze Fong Yau:
A linear filtering approach for direction-of-arrival estimation of coherent signals. ICASSP (4) 1993: 524-527 - 1992
- [j3]Sze Fong Yau, Yoram Bresler:
Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - An approximate method. Signal Process. 29(3): 283-298 (1992) - [j2]Sze-Fong Yau, Yoram Bresler:
A compact Cramer-Rao bound expression for parametric estimation of superimposed signals. IEEE Trans. Signal Process. 40(5): 1226-1230 (1992) - [j1]Sze-Fong Yau, Yoram Bresler:
Worst case Cramer-Rao bounds for parametric estimation of superimposed signals with applications. IEEE Trans. Signal Process. 40(12): 2973-2986 (1992) - [c4]Sze Fong Yau, Yoram Bresler:
Image restoration by complexity regularization via dynamic programming. ICASSP 1992: 305-308 - 1991
- [c3]Sze Fong Yau:
FIR digital filtering of delta modulated signals. ICASSP 1991: 2001-2004 - [c2]Sze Fong Yau, Yoram Bresler:
Performance analysis of parameter estimation of superimposed signals by dynamic programming. ICASSP 1991: 3161-3164 - 1990
- [c1]Sze Fong Yau, Yoram Bresler:
Parameter estimation of superimposed signals by dynamic programming. ICASSP 1990: 2499-2502
Coauthor Index
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