A filter family designed for use in quadrature mirror filter banks

Johnston, James D.

doi:10.1109/icassp.1980.1171025

Cited by 572 publications

(197 citation statements)

References 4 publications

Supporting

Mentioning

189

Contrasting

Unclassified

Order By: Relevance

“…Johnston [12] has devised a technique to minimize amplitude distortion based on wellknown multivariable optimization routines. Essentially, the filter coefficients are iteratively adjusted in order to minimize the value of an objective function that represents a linear combination of the overall passband error E r and the stopband energy of the low-pass analysis filter of the filter bank E s :…”

Section: Quadrature Mirror Filter Banksmentioning

confidence: 99%

“…Different wavelets decompose the analyzed signal in a different way, thus affecting the overall accuracy of the classification method or the process of harmonics measurement. The Johnston filters [12] with 24, 32 and 64 coefficients (J24B, J24C, J24D, J32C, J32D, J32E, J64E) are used in this work, besides well-known wavelet families. Letter C is a notation for all Johnston filters that have a normalized transition band of 0.0625, D refers to a normalized transition band of 0.043 and E refers to 0.023.…”

Section: Choice Of the Filtersmentioning

confidence: 99%

“…Compared to well-known wavelet families, the introduced Johnston filters [12] have better selectivity properties which make them suitable for harmonic analysis. The presented results show that Johnston filters outperform the commonly-used wavelet filters for harmonic analysis, especially in case of non-stationary signals.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Near Perfect Reconstruction Filter Banks for Power Quality Analysis

Taskovski¹,

Koleva²,

Milchevski³

et al. 2013

Metrology and Measurement Systems

View full text Add to dashboard Cite

The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbance classification or harmonics measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically vary from the choice of the wavelet. In this paper we analyze the influence of the choice of the wavelet to the accuracy of the power quality classification method and to high frequency harmonics measurements. Additionally to the well known wavelet filters we introduce near perfect reconstruction filter banks. The simulation results indicate that these filter banks are a good choice for classification of power quality disturbances, especially in the presence of noise and for high frequency harmonics measurements.

show abstract

Section: Quadrature Mirror Filter Banksmentioning

confidence: 99%

Section: Choice Of the Filtersmentioning

confidence: 99%

See 1 more Smart Citation

Near Perfect Reconstruction Filter Banks for Power Quality Analysis

Taskovski¹,

Koleva²,

Milchevski³

et al. 2013

Metrology and Measurement Systems

View full text Add to dashboard Cite

show abstract

“…Johnston [26] minimized AMD, in ALD and PHD free QMF bank, by optimizing the coefficients of the low-pass filter 0 ( ), such that the amplitude of the distortion function | ( )| becomes as flat as possible and at the same time the stop band energy of 0 ( ) was minimized.…”

Section: Elimination Of Ald and Phd Completely And Minimization Of Amdmentioning

confidence: 99%

Two-Channel Quadrature Mirror Filter Bank: An Overview

Agrawal

Sahu

2013

ISRN Signal Processing

View full text Add to dashboard Cite

During the last two decades, there has been substantial progress in multirate digital filters and filter banks. This includes the design of quadrature mirror filters (QMF). A two-channel QMF bank is extensively used in many signal processing fields such as subband coding of speech signal, image processing, antenna systems, design of wavelet bases, and biomedical engineering and in digital audio industry. Therefore, new efficient design techniques are being proposed by several authors in this area. This paper presents an overview of analysis and design techniques of the two-channel QMF bank. Application in the area of subband coding and future research trends are also discussed.

show abstract

“…Several iterative methods [16−21] and genetic algorithm [22−25] applied for the design of two-channel QMF banks. Based on Johnston's [17] methods, authors in [21] have developed an efficient technique by considering polyphase components for the design of QMF bank, but the reconstruction error was high. Recently, Ghosh et al [24] proposed an approach based on adaptive-differential-evolution algorithm and in [25] an improved particle swarm optimization (PSO) method has presented for the design of QMF banks in frequency domain.…”

Section: Introductionmentioning

confidence: 99%