Now showing items 1-20 of 20

    • A 12-bit 150-MHz 1.25-mm2 CMOS DAC 

      He, Y.; Jiang, J.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2004)
      This paper presents a 12-bit 150-MHz current steering DAC with hierarchical symmetrical switching sequence that compensates gradient errors. The circuit of the DAC employs segmented architecture; the least significant bits ...
    • Active filters using single current conveyor 

      Sun, Y.; He, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2003)
      A current to voltage lowpass filter using a single CCII is proposed. This filter can absorb all finite CCII resistances and capacitances and offer both non-inverting and inverting output. Convenient compensation methods ...
    • Analysis of environmental and economic benefits of integrated Exhaust Energy Recovery (EER) for vehicles 

      Peng, Z.J.; Wang, T.; He, Y.; Yang, X.; Lu, L. (2013-05-01)
      Differing from those traditional vehicle exhaust heat recovery systems which just provided thermal energy directly for cabin warming, integrated Exhaust Energy Recovery (EER) which is researched and developed mainly in ...
    • Class-based neural network method for fault location of large-scale analogue circuits 

      He, Y.; Tan, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2003)
      A new method for fault diagnosis of large-scale analogue circuits based on the class concept is developed in this paper. A large analogue circuit is decomposed into blocks/sub-circuits and the nodes between the blocks are ...
    • CMOS R-MOSFET-C fourth-order Bessel filter with accurate group delay 

      He, Y.; Jiang, J.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2002)
      A fully differential R-MOSFET-C fourth-order Bessel active lowpass filter employing passive resistors and current-steering MOS transistors as a variable resistor is proposed. The implementation relies on the tunability of ...
    • Data-fused method of fault diagnosis for analog circuits 

      Tan, Y.; He, Y.; Sun, Y.; Yang, H.; Liu, M. (2009)
      A data-fused fault diagnosis method based on wavelet packet decomposition of voltages of test nodes and current signals of the terminals stimulated is proposed in the paper. For the faults difficult to detect merely from ...
    • Design of high-frequency Gm-C wavelet filters 

      Zhao, W.; Sun, Y.; Zhu, X.; He, Y. (2009)
      A high-frequency wavelet filter which employs Gm-C blocks based on leap-frog (LF) multiple-loop feedback (MLF) structure is presented. The proposed method is well suitable for high-quality high-frequency operation since ...
    • Design of test stimuli and minimization of ambiguity in fault diagnosis of analogue circuits with tolerance 

      Tan, Y.; He, Y.; Sun, Yichuang (2010)
      A novel method of stimuli design for analogue circuit fault diagnosis is presented based on a genetic algorithm and wavelet packet decomposition. The method is characterised by reduced fault ambiguity and more accurate ...
    • Detection of Cardiac Signal Characteristic Point Using Log-Domain Wavelet Transform Circuits 

      Li, H.; He, Y.; Sun, Yichuang (2008-10)
      To meet the requirement of low power consumption in biomedical implantable pacemaker applications, a novel method based on balanced log-domain wavelet transform (WT) circuits has been developed for detecting QRS complexes ...
    • Fault diagnosis of analog circuits based on wavelet packets 

      He, Y.; Tan, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2004)
      A fault diagnosis method for analog circuits based on wavelet packets is developed in this paper. The sampled signals from the test nodes are decomposed by wavelet packets and the feature vectors extracted are applied to ...
    • Fault diagnosis of analog circuits with tolerances using artificial neural networks 

      Deng, Y.; He, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2000)
      This paper proposes a method for analog fault diagnosis using neural networks. The primary focus of the paper is to provide robust diagnosis using a mechanism to deal with the problem of component tolerances and reduce ...
    • Fault isolation in nonlinear analog circuits with tolerance using the neural network-based L1-norm 

      He, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2001)
      This paper deals with fault isolation in nonlinear analog circuits with tolerance under an insufficient number of independent voltage measurements. A neural network-based L1-norm optimization approach is proposed and ...
    • Minimum component high frequency Gm-C wavelet filters based on Maclaurin series and multiple loop feedback 

      Zhao, W.; Sun, Y.; He, Y. (2010)
      A minimum component high frequency Gm-C wavelet filter structure is presented. A simple function from Maclaurin series approximation is used and the current-mode follow-the-leader feedback structure is employed. For the ...
    • A multiple loop feedback Gm-C bandpass filter for wavelet transform implementation 

      Zhao, W.; Sun, Y.; Zhu, X.; He, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2009)
      A general method for analogue implementation of high-frequency wavelet transform is proposed in which the wavelet transform is synthesized by a bank of Gm-C bandpass filters whose impulse responses are the mother wavelet ...
    • A neural network approach for fault diagnosis of large-scale analogue circuits 

      He, Y.; Tan, Y.; Sun, Y. (Institute of Electrical and Electronics Engineers (IEEE), 2002)
      An approach for fault diagnosis of large-scale analogue circuits using neural networks is presented in the paper. This method is based on the fault dictionary technique, but it can deal with soft faults due to the robustness ...
    • A New Neural-Network-Based Fault Diagnosis Approach for Analog Circuits by Using Kurtosis and Entropy as a Preprocessor 

      Yuan, L.F.; He, Y.; Huang, J.; Sun, Y. (2010-03)
      This paper presents a new fault diagnosis method for analog circuits. The proposed method extracts the original signals from the output terminals of the circuits under test (CUTs) by a data acquisition board and finds the ...
    • A new SoC video ghost canceller 

      Huang, J.; He, Y.; Sun, Y.; Zhao, W.; Zhu, X. (Institute of Electrical and Electronics Engineers (IEEE), 2009)
      A video ghost canceller, which reduces the effect of multi-path signal echoes (ghosts), is described in this paper. An adaptive LMS algorithm was used to improve the received image quality of PAL or NTSC broadcasts. The ...
    • Poly(triazolyl methacrylate) glycopolymers as potential targeted unimolecular nanocarriers 

      Madeira do O, J.; Foralosso, R.; Yilmaz, G.; Mastrotto, F.; King, P.J.S.; Xerri, R.M.; He, Y.; van der Walle, C.F.; Fernandez-Trillo, F.; Laughton, C. A.; Styliari, Ioanna Danai; Stolnik, S.; Mantovani, G. (2019-10-29)
      Synthetic glycopolymers are increasingly investigated as multivalent ligands for a range of biological and biomedical applications. This study indicates that glycopolymers with a fine-tuned balance between hydrophilic sugar ...
    • SFG realization of wavelet filter using switched-current circuits 

      Zhao, W.; He, Y.; Sun, Y. (2009)
      A signal flow graph method for analogue implementation of wavelet transform using switched-current circuits is proposed in which the wavelet transform is synthesized by a bank of switched-current bandpass filters whose ...
    • Wavelet neural network approach for fault diagnosis of analogue circuits 

      Sun, Y.; He, Y.; Tan, Y. (2004)
      A systematic method for fault diagnosis of analogue circuits based on the combination of neural networks and wavelet transforms is presented. Using wavelet decomposition as a tool for removing noise from the sampled signals, ...