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Synthesis of IIR error feedback filters for ΔΣ modulators using approximation
2016 Edition, December 1, 2016 - Asia-Pacific Signal and Information Processing Association (APSIPA)

In this paper, we propose a design procedure to obtain infinite impulse response (IIR) error feedback filters for ΔΣ modulators. It is known that the design of optimal finite impulse response (FIR) error feedback filters...

Exploiting architectural solutions for IIR filter architecture with truncation error feedback
2016 Edition, February 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Digital filters are widely used in digital systems, which can make use of integer arithmetic to achieve higher performance. The use of integer operands can compromise the filter operation, due to the inherently error caused by truncation...

Noise reduction for 3-D IIR digital filters with discrete error feedback coefficients
2005 Edition, January 1, 2005 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we propose a new design method for error feedback (EF) with discrete coefficients in order to reduce the roundoff noise in 3-D IIR digital filters. The lower bound estimation principle is used so that finding the optimum solution....

Design and implementation of efficient IIR notch filters with quantization error feedback
1994 Edition, Volume 43, June 1, 1994 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Straightforward methods for the design of digital notch filters are presented. The design method is based on setting a zero of the filter at a notch frequency and placing a pole in its neighborhood such that the notch width is narrow enough while keeping the group...

Design of Pipelined IIR Filters Using Two-Stage Frequency-Response Masking Technique
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A pipelined, high-speed IIR filter based on the frequency-response masking (FRM) technique has been proposed by Johansson and Wanhammar. In their method, the bandedge shaping filters are a pair of IIR power complementary filters whose z-transform functions...

Min-max IIR filter design for feedback quantizers
2017 Edition, December 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In networked control systems, transmitted data should be quantized into a relatively small number of bits if the rate of the communication channel is not sufficiently high. We propose a feedback quantizer for an implementable simple quantizer with high precision...

Min-Max Design of Error Feedback Quantizers Without Overloading
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we design a no-overloading error feedback quantizer based on a ΔΣ modulator, composed of an error feedback filter and a static quantizer. To guarantee no-overloading in the quantizer, we impose an l∞ norm constraint on the...

Evaluation of Stochastic Cascaded IIR Filters
2017 Edition, May 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Stochastic cascaded IIR filters are used for area-efficient complicated filters in hardware, such as gammatone and gammachirp filters, but the effectiveness of the cascaded form has not been studied in stochastic computation. To evaluate the...

Jointly optimal error feedforward, high-order error feedback and realization for roundoff noise minimization in IIR digital filters
2014 Edition, June 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Joint optimization of error feedforward, high-order error feedback and state-space realization for minimizing roundoff noise at filter output subject to l2-scaling constraints for state-space digital filters is investigated. Linear algebraic...

Kernel Adaptive Filters with Feedback Based on Maximum Correntropy
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents novel kernel adaptive filters with feedback, namely kernel recursive maximum correntropy with multiple-feedback (KRMC-MF) and its simplified version, a linear recurrent kernel online learning algorithm based on maximum correntropy criterion (LRKOL-MCC). In...

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