Narrowband Notch Filter Using Feedback Structure Tips &amp; Tricks

Pei, Soo‐Chang; Guo, Bo-Yi; Lu, Wen-Yang

doi:10.1109/msp.2016.2531578

Cited by 10 publications

(3 citation statements)

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“…al. [41] showed the superiority of the current approach based on optimization with smoothing constraints.…”

Section: Introductionmentioning

confidence: 88%

“…with a pair of zeros on the unit circle and a pair of poles place inside the unit circle makes a simple and classical notch filter [41], [43]. However, the classical notch filter has several drawbacks that has been discussed in [40].…”

Section: Frequency Domain Analysis: Parameter Design Based On Cutomentioning

confidence: 99%

“…For avoiding duplication of results presented in [40], we do not give theoretical derivations or algorithm descriptions that are easily found in [40]. It has been shown that the approach presented in [40] is more effective than the classical notch filter described in [41], [43]. That is why we do not compare our proposed filter with filters designed using more classical methods.…”

Section: Frequency Domain Analysis: Parameter Design Based On Cutomentioning

confidence: 99%

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Band-Stop Smoothing Filter Design

Roonizi

Jutten

2021

IEEE Trans. Signal Process.

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Smoothness priors and quadratic variation (QV) regularization are widely used techniques in many applications ranging from signal and image processing, computer vision, pattern recognition, and many other fields of engineering and science. In this contribution, an extension of such algorithms to band-stop smoothing filters (BSSFs) is investigated. For designing a BSSF, the most important parameters are the order and the cutoff frequencies. In this paper, we show that with the optimization approaches (smoothness priors or QV regularization), the cutoff frequencies are related to the regularized parameters and the order can be directly (and easily) controlled with the number of derivatives. We describe two ways to implement the BSSFs using these approaches. First, we present a parallel structure to BSSF and then illustrate why it is less than ideal. Next, we present a novel approach regarding parallel structure to produce BSSFs with very sharp transition bands for high-performance applications. An improved optimization-based approach to BSSF design is introduced. The performance of the new BSSFs is nearly ideal.

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“…al. [41] showed the superiority of the current approach based on optimization with smoothing constraints.…”

Section: Introductionmentioning

confidence: 88%

Section: Frequency Domain Analysis: Parameter Design Based On Cutomentioning

confidence: 99%