Design of Reconfigurable FRM Channelizer using Resource Shared Non-maximally Decimated Masking Filters

Sudharman, Sudhi; Bindiya, T. S.

doi:10.1007/s11265-020-01615-1

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…Here, the constructed filter bank's parameters, such as delay and matching error, are further tuned using the AB fitness function indicated in Eq. ( 9) k = m.a + r1(bgmax -w.a) + r2(bpmax -w.a) (9) where, r1 and r2 are the learning parameters for identifying the filter bank parameters, whereas m.a and w.a denote the actual loss parameters, bgmax represents the matching error optimizing factor, and bpmax is the optimizing factor for group delay. As a result, outcomes like matching errors and delays were more effective.…”

Section: Methodology For Optimized Ab-frmrf Model Designmentioning

confidence: 99%

“…Hearing is one of the most sophisticated and delicate functions of the human body, with abnormalities in the auditory system's nerves leading to hearing loss [1]. Sensorineural hearing loss (SNHL), often resulting from aging [2], infections, ototoxic medications, and exposure to excessive noise [3], necessitates the use of hearing aids to improve auditory perception.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, such a multiband compression module often results in reduced modulation and spectral efficiency in communication signals [7]. The advent of advanced digital signal processing (DSP) techniques [8], including noise reduction, band coding, echo cancellation [9], speech enhancement, and auditory repair strategies, are now repeatedly applied across various platforms [10]. Digital hearing aids utilize an array of DSP techniques to ensure speech clarity in the absence of noise [11], despite these innovations, modern hearing aids continue to encounter design challenges related to achieving sharp transition bandwidth, enhanced speech intelligibility, reduced chip size, and low power consumption.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Hearing Aid Performance with an African Buffalo Optimization-Based Frequency Response Masking Filter

Shrivastav,

Bhandari,

Kolte

2024

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Hearing aid systems rely on reconfigurable filters to selectively amplify desired signals while suppressing unwanted noise. However, the complexity of the hardware and the associated power dissipation present substantial challenges, particularly in systems where adaptability and scalability are crucial. These systems require advanced auditory compensation to accommodate the diverse auditory profiles of individuals with hearing impairments. In this study, an African buffalo-inspired optimization algorithm is introduced to fine-tune a Frequency Response Masking Reconfigurable Filter (AB-FRMRF). This novel approach ensures High-Q filtering with narrow transition bands while maintaining a low filter order, thereby enhancing selectivity and minimizing complexity. The optimization algorithm adjusts its search strategy based on solution fitness, optimizing the filter's coefficient values. Performance parameters such as matching error and group delay are meticulously tuned for optimal auditory compensation. Utilizing distributed arithmetic for hardware realization and a Brent Kung adder for the summation of dynamic random-access memory (DRAM) partial products, the hardware design deviates from conventional pipeline adder trees, culminating in significant power savings and improved processing speed. Modeled in MATLAB and implemented on a Kintex 7 FPGA Genesys 2 board, the AB-FRMRF model exhibits a reduced matching error down to 1.2 dB and a minimized delay to 2.5 msec for high-frequency sounds in cases of mild hearing loss. These metrics are favorable in comparison to existing reconfigurable filters reported in the literature. The AB-FRMRF model not only demonstrates a 35% improvement in power consumption but also outperforms traditional methods in computational complexity, auditory compensation, delay, and power metrics, making it highly suitable for hearing aid applications. The proposed filter design signifies a substantial advancement in auditory assistance technology, aligning with the necessity for high-performance, low-power hearing aid devices.

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Section: Methodology For Optimized Ab-frmrf Model Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhanced Hearing Aid Performance with an African Buffalo Optimization-Based Frequency Response Masking Filter

Shrivastav,

Bhandari,

Kolte

2024

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“…Thus, the outcome sampling frequency was twiced that is it becomes 2 * instead of as maximally decimated filter bank. It is achieved by Polyphase Analysis and Synthesis Filter Bank for Nonmaximally decimated filter bank as follow, M-path polyphase decomposition of prototype filter was provided as [28] (…”

Section: Non Maximally Decimated Polyphase Filter Bankmentioning

confidence: 99%

Low Complexity Non Maximally Coefficient Symmetry Multi Rate Filter Bank for Wideband Channelization

Vaidya¹,

Dethe²,

Akojwar³

2021

Preprint

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For extracting the individual channels from input signal of wideband, Software Radio Channelizer was often used on multi-standard wireless communication. Despite the effective channelizer design that decreases the complexity of computational, delay and power consumption is challenging. Thus, to promote the effectiveness of the channelizer, we have provided the Non-Maximally Coefficient Symmetry Multirate Filter Bank. For this, a sharp wideband channelizer is designed to be using the latest class of masking responses with Non-maximally Decimated Polyphase Filter. Moreover, coefficient symmetry is incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank to improve the hardware efficiency and functionality of the proposed schemes. To prove the complexity enhancement of the proposed system, the design is analyzed with communication standard with existing methods.

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An optimized frequency response masking reconfigurable filter to enhance the performance of the hearing aid system

Shrivastav,

Kolte

2024

Multimed Tools Appl

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Design of Reconfigurable FRM Channelizer using Resource Shared Non-maximally Decimated Masking Filters

Cited by 8 publications

References 23 publications

Enhanced Hearing Aid Performance with an African Buffalo Optimization-Based Frequency Response Masking Filter

Enhanced Hearing Aid Performance with an African Buffalo Optimization-Based Frequency Response Masking Filter

Low Complexity Non Maximally Coefficient Symmetry Multi Rate Filter Bank for Wideband Channelization

An optimized frequency response masking reconfigurable filter to enhance the performance of the hearing aid system

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