Design And Implementation Of A Linear-phase Equalizer In Digital Audio Signal Processing

Slump, Cornelis H.; Asma, C.G.M. van; Barels, J.K.P.; Brunink, W.J.A.; Drenth, F.B.; Pol, J. van de; Schouten, D.; Samsom, M.M.; Herrmann, O.E.

doi:10.1109/vlsisp.1992.641062

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The linear-phase property of digital filters is usually not required in audio processing [26]. In fact, linear-phase filters are sometimes even considered harmful as their symmetric impulse response can produce pre-ringing and an unnecessary delay [26,28,29]. Therefore, minimum-phase IIR filters can be considered for oversampled waveshaping.…”

Section: Elliptic Iir Decimation Filtermentioning

confidence: 99%

Oversampling for Nonlinear Waveshaping: Choosing the Right Filters

Kahles¹,

Esqueda²,

Välimäki³

2019

J. Audio Eng. Soc.

View full text Add to dashboard Cite

An assessment of filters for classic oversampled audio waveshaping schemes is carried out in this paper, pursuing aliasing reduction. For this purpose, the quality measure of the Aweighted noise-to-mask ratio is computed for test tones covering the frequency range from 27.5 Hz to 4.186 kHz, sampled at 44.1 kHz, and processed at eight-times oversampling. All filters are designed to have their passband contained within a ±1 dB range and to display a minimum stopband attenuation value of 40 dB. Waveshaping of sinusoids via hard clipping is investigated: the spectral enrichment due to the discontinuities introduced by its nonlinear transfer function maximizes aliasing distortion. The obtained results suggest that linear interpolation equalized with a high shelving filter is a sufficiently good method for upsampling. Concerning decimation, the interpolated FIR, elliptic, and cascaded integrator-comb filters all improve the results with respect to the trivial case. Regarding performance, the cascaded integrator-comb filter is the only tested decimation filter that achieves perceptually sufficient aliasing suppression for the entire frequency range when combined with the linear interpolator.

show abstract

Section: Elliptic Iir Decimation Filtermentioning

confidence: 99%

Oversampling for Nonlinear Waveshaping: Choosing the Right Filters

Kahles¹,

Esqueda²,

Välimäki³

2019

J. Audio Eng. Soc.

View full text Add to dashboard Cite

show abstract

“…An advantage of FIR filters here is the possibility to realize a linear phase response, causing no phase distortion and thus largely retaining the waveform of the signal [73,76]. However, many audio engineers doubt whether linear phase filters are a good choice for audio signal processing, as they may lead to pre-echos or ringing of transients [76][77][78]. Furthermore, just like in the case of tone controls, linear phase filters produce more delay than minimum phase filters, which may be noticeable in live sound reproduction.…”

Section: Fir Graphic Equalizersmentioning

confidence: 99%

All About Audio Equalization: Solutions and Frontiers

Välimäki

Reiss

2016

Applied Sciences

View full text Add to dashboard Cite

Audio equalization is a vast and active research area. The extent of research means that one often cannot identify the preferred technique for a particular problem. This review paper bridges those gaps, systemically providing a deep understanding of the problems and approaches in audio equalization, their relative merits and applications. Digital signal processing techniques for modifying the spectral balance in audio signals and applications of these techniques are reviewed, ranging from classic equalizers to emerging designs based on new advances in signal processing and machine learning. Emphasis is placed on putting the range of approaches within a common mathematical and conceptual framework. The application areas discussed herein are diverse, and include well-defined, solvable problems of filter design subject to constraints, as well as newly emerging challenges that touch on problems in semantics, perception and human computer interaction. Case studies are given in order to illustrate key concepts and how they are applied in practice. We also recommend preferred signal processing approaches for important audio equalization problems. Finally, we discuss current challenges and the uncharted frontiers in this field. The source code for methods discussed in this paper is made available at https://code.soundsoftware.ac.uk/projects/allaboutaudioeq.

show abstract

“…An example of the design of a VLSI digital audio equalizer is given by Slump et al [30]. Two VLSI designs were completed and compared.…”

Section: Programmable Configurable Etcmentioning

confidence: 99%

Cost, power, and parallelism in speech signal processing

Lyon

Proceedings of IEEE Custom Integrated Circuits Conference - CICC '93

View full text Add to dashboard Cite

The cost of speech signal processing and other computationally intensive functions is increasingly influenced by power consumption as products are made smaller and more portable. That is, in portable products, weight and battery life are bigger issues than silicon area and total computational capability. A recent emphasis on the power problem within the VLSI signal processing community has led to an understanding of how parallelism can significantly reduce the cost of a system by greatly reducing clock speed, supply voltage, and power consumption, even though at the expense of silicon area and other measures of efficiency. Several different kinds and degrees of parallelism, including massive analog parallelism, should be considered in planning to reduce the total cost of speech signal processors. In this tutorial paper, recent and older ideas are reviewed with respect to their potential applicability to modern products, as well as with respect to their difficulties.

show abstract

Design And Implementation Of A Linear-phase Equalizer In Digital Audio Signal Processing

Cited by 3 publications

References 0 publications

Oversampling for Nonlinear Waveshaping: Choosing the Right Filters

Oversampling for Nonlinear Waveshaping: Choosing the Right Filters

All About Audio Equalization: Solutions and Frontiers

Cost, power, and parallelism in speech signal processing

Contact Info

Product

Resources

About