Xiaoying Hong

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The impulse response coefficients of a two-dimensional (2-D) finite impulse response (FIR) filter are in a matrix form in nature. Conventional optimal design algorithms rearrange the filter's coefficient matrix into a vector and then solve for the coefficient vector using design algorithms for one-dimensional (1-D) FIR filters. Some recent design algorithms(More)
This paper discusses large-scale single-machine rescheduling problems with efficiency and stability as bi-criterion, where more than one disruption arises during the execution of an initial schedule. Partial rescheduling (PR), which involves only partial unfinished schedules, is adopted in response to each disruption and forms a PR sub-problem. The(More)
Conventional algorithms for phase-error constrained minimax (PCMM) designs of two-dimensional (2-D) FIR filters vectorize the filter's impulse response coefficient. Recently, an efficient algorithm exploiting the matrix nature of the impulse response is proposed for the constrained least-squares (CLS) design of 2-D nonlinear-phase FIR filters. This paper(More)
Conventional algorithms for constrained least-squares (CLS) designs of two-dimensional (2-D) FIR filters vectorize the filters' impulse response coefficients. Recently, an efficient algorithm exploiting the matrix nature of the impulse response is proposed for the CLS design of quadrantally symmetric 2-D linear-phase FIR filters. This paper extends the(More)
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