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International Symposium on Circuits and Systems (ISCAS 2009), 24-17 May 2009, Taipei, Taiwan; 01/2009
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IEICE Transactions. 01/2008; 91-C:87-95.
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IEICE Transactions. 01/2008; 91-A:535-541.
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IEICE Transactions. 01/2007; 90-A:339-350.
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IEICE Transactions. 01/2007; 90-A:372-379.
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IEICE Transactions. 01/2005; 88-A:444-450.
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IEICE Transactions. 01/2005; 88-A:438-443.
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International Symposium on Circuits and Systems (ISCAS 2001), 6-9 May 2001, Sydney, Australia; 01/2001
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ABSTRACT: This paper proposes an automatic tuning system to adjust frequency characteristics of integrated continuous-time filters especially at high frequencies. Frequency characteristic deterioration of a filter using integrators with electrically controllable unity-gain frequencies can be easily evaluated and compensated even when they are affected by deviations of element values and parasitic elements. The compensation requires detection of both frequency and excess phase shifts of the integrators. Their two values are electrically detected by two detection systems usually used in the conventional frequency tuning system. The proposed system is stable, simple and easy to be implemented on an integrated circuit. As an example a 4th-order biquad bandpass filter with 10 MHz center frequency, 2 MHz passband width, and 0.5 dB passband ripples is designed using a bipolar process. Simulation results by SPICE show the effectiveness of the proposed system.
Analog Integrated Circuits and Signal Processing 01/1998; 16(3):225-238. · 0.59 Impact Factor
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ABSTRACT: This paper proposes a topology-independent predistortion for filters using integrators. This employs integrators having the same structure, the same-value elements and an electrically controllable unity-gain frequency and compensates for the deviation of frequency characteristics due to excess phase shifts of integrators without knowledge of a filter topology. The effectiveness of the proposed method is demonstrated through SPICE simulations.
Analog Integrated Circuits and Signal Processing 01/1996; 11(2):119-128. · 0.59 Impact Factor