H. Kwan

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UltraSPARC is the first microprocessor from Sun Microsystems' SPARC Technology Business to implement the new 64-bit SPARC V9 architecture. ULtraSPARC is equipped with unique multimedia capabilities and is capable of 4-way superscalar instruction dispatch, with an emphasis on maximal system efficiency and throughput in the execution of complex,(More)
This paper presents an adaptive neuro-fuzzy filtering scheme using the artificial neuro-fuzzy inference system (ANFIS) for noise reduction in speech. The measurable output noisy speech with 5 dB SNR level is taken as the contaminated version of the interference to compare with the output data of the filter. The white noise source is taken as the input. With(More)
In this paper, a 2-D phoneme sequence pattern recognition using the fuzzy neural network is presented. The self-organizing map and the learning vector quantization are used to organize the phoneme feature vectors of short and long phonemes segmented from speech samples to obtain the phoneme maps. The 2-D phoneme response sequences of the speech samples are(More)
In this paper, the use of the ARMA lattice model for glottal source excited pitch synchronous speech analysis and synthesis is presented. By modeling the vocal tract with the ARMA lattice model, the effect of the nasal cavity is modeled by the introduced zeros. Consequently, a higher quality speech could be synthesized. In so doing, the limitation due to(More)
A real Gabor transform (GT) for image analysis and compression is presented in this paper and the RLS algorithm is applied to extract the coefficients of the real 2-D GT. A significant computation of the real GT can be saved when compared to the computation of the widely used complex Gabor transform. In addition, the real GT has a simple relationship with(More)
A Levinson-type algorithm is proposed for estimating the two-dimensional autoregressive-moving average (ARMA) model from the observed inputs and outputs of an unknown 2-D system. By applying the concept of dummy prediction errors, the algorithm can be extended for computing 2-D models of any AR-order and MA-order. It is shown that the algorithm can be(More)
  • H.K. Kwan
  • 2005
In this paper, the construction and design of analysis and synthesis filterbanks using analysis sub-filters that consist of second-order passive digital filters, and synthesis sub-filters that consist of low-order finite impulse response (FIR) digital filters are presented. The use of low-order FIR digital filters reduces the group delay of the analysis and(More)
A parametric modulated communication system driven by a chaotic signal is presented. The chaotic signal is generated by a chaotic digital filter with a sawtooth nonlinearity. In the system, an analysis-synthesis digital filter-pair, each with a sawtooth nonlinearity, consisting of one or more parametric modulated signals, is used. An adaptive modified(More)
In this paper, a multichannel adaptive lattice structure (MCLS) for canceling the noise over a nonlinear transmission channel is presented. The presented structure applies to situations in which the reference signal and noisy primary signal are collected simultaneously. The coefficients of a multichannel multiple regression transversal filter are modified(More)
In this paper, the result of a study on phoneme feature extraction, under a noisy environment, using an auto-regressive moving average (ARMA) lattice model, is presented. The phoneme characteristics are modeled and expressed in the form of ARMA lattice reflection coefficients for classification. Experimental results, based on the TIMIT speech database and(More)