S-Band

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 246 Experts worldwide ranked by ideXlab platform

Minghsu Chuang - One of the best experts on this subject based on the ideXlab platform.

  • 10 ms 18 band quasi ansi s1 11 1 3 octave filter bank for digital hearing aids
    IEEE Transactions on Circuits and Systems, 2013
    Co-Authors: Chihwei Liu, Kuochiang Chang, Minghsu Chuang
    Abstract:

    The ANSI S1.11 1/3-octave filter bank is suitable for digital hearing aids, but its large group delay and high computational complexity complicate matters considerably. This study presents a 10-ms 18-band quasi-ANSI S1.11 1/3-octave filter bank for processing 24 kHz audio signals. We first discuss a filter order optimization algorithm to define the quasi-ANSI filters. The group delay constraint of filters is limited to 10 ms. The proposed design adopts an efficient prescription-fitting algorithm to reduce inter-band interference, enabling the proposed quasi-ANSI filter bank to compensate any type of hearing loss (HL) using the NAL-NL1 or HSE prescription formulas. Simulation results reveal that the maximum matching error in the prescriptions of the mild HL, moderate HL, and severe-to-profound HL is less than 1.5 dB. This study also investigates the complexity-effective multirate IFIR quasi-ANSI filter bank. For an 18-band digital hearing aid with a 24 kHz sampling rate, the proposed architecture eliminates approximately 93% of the multiplications and up to 74% of the storage elements, compared with a parallel FIR filters architecture. The proposed analysis filter bank (AFB) was designed in UMC 90 nm CMOS high-VT technology, and on the basis of post-layout simulations, it consumes 73 μW (@VDD=1 V). By voltage scaling (to 0.6 V), the simulation results show that the power consumption decreases to 27 μW, which is approximately 30% of that consumed by the most energy-efficient AFB available in the literature for use in hearing aids.

Chihwei Liu - One of the best experts on this subject based on the ideXlab platform.

  • 10 ms 18 band quasi ansi s1 11 1 3 octave filter bank for digital hearing aids
    IEEE Transactions on Circuits and Systems, 2013
    Co-Authors: Chihwei Liu, Kuochiang Chang, Minghsu Chuang
    Abstract:

    The ANSI S1.11 1/3-octave filter bank is suitable for digital hearing aids, but its large group delay and high computational complexity complicate matters considerably. This study presents a 10-ms 18-band quasi-ANSI S1.11 1/3-octave filter bank for processing 24 kHz audio signals. We first discuss a filter order optimization algorithm to define the quasi-ANSI filters. The group delay constraint of filters is limited to 10 ms. The proposed design adopts an efficient prescription-fitting algorithm to reduce inter-band interference, enabling the proposed quasi-ANSI filter bank to compensate any type of hearing loss (HL) using the NAL-NL1 or HSE prescription formulas. Simulation results reveal that the maximum matching error in the prescriptions of the mild HL, moderate HL, and severe-to-profound HL is less than 1.5 dB. This study also investigates the complexity-effective multirate IFIR quasi-ANSI filter bank. For an 18-band digital hearing aid with a 24 kHz sampling rate, the proposed architecture eliminates approximately 93% of the multiplications and up to 74% of the storage elements, compared with a parallel FIR filters architecture. The proposed analysis filter bank (AFB) was designed in UMC 90 nm CMOS high-VT technology, and on the basis of post-layout simulations, it consumes 73 μW (@VDD=1 V). By voltage scaling (to 0.6 V), the simulation results show that the power consumption decreases to 27 μW, which is approximately 30% of that consumed by the most energy-efficient AFB available in the literature for use in hearing aids.

Kuochiang Chang - One of the best experts on this subject based on the ideXlab platform.

  • 10 ms 18 band quasi ansi s1 11 1 3 octave filter bank for digital hearing aids
    IEEE Transactions on Circuits and Systems, 2013
    Co-Authors: Chihwei Liu, Kuochiang Chang, Minghsu Chuang
    Abstract:

    The ANSI S1.11 1/3-octave filter bank is suitable for digital hearing aids, but its large group delay and high computational complexity complicate matters considerably. This study presents a 10-ms 18-band quasi-ANSI S1.11 1/3-octave filter bank for processing 24 kHz audio signals. We first discuss a filter order optimization algorithm to define the quasi-ANSI filters. The group delay constraint of filters is limited to 10 ms. The proposed design adopts an efficient prescription-fitting algorithm to reduce inter-band interference, enabling the proposed quasi-ANSI filter bank to compensate any type of hearing loss (HL) using the NAL-NL1 or HSE prescription formulas. Simulation results reveal that the maximum matching error in the prescriptions of the mild HL, moderate HL, and severe-to-profound HL is less than 1.5 dB. This study also investigates the complexity-effective multirate IFIR quasi-ANSI filter bank. For an 18-band digital hearing aid with a 24 kHz sampling rate, the proposed architecture eliminates approximately 93% of the multiplications and up to 74% of the storage elements, compared with a parallel FIR filters architecture. The proposed analysis filter bank (AFB) was designed in UMC 90 nm CMOS high-VT technology, and on the basis of post-layout simulations, it consumes 73 μW (@VDD=1 V). By voltage scaling (to 0.6 V), the simulation results show that the power consumption decreases to 27 μW, which is approximately 30% of that consumed by the most energy-efficient AFB available in the literature for use in hearing aids.

Jacques Oksman - One of the best experts on this subject based on the ideXlab platform.

  • Wide-band, band-pass and versatile Hybrid Filter Bank A/D conversion for software radio
    IEEE Circuits and Systems Magazine, 2009
    Co-Authors: Caroline Lelandais-perrault, Daniel Poulton, Pierre Duhamel, Tudor Petrescu, Jacques Oksman
    Abstract:

    This paper deals with analog-to-digital (A/D) conversion for future software/cognitive radio systems. For these applications, A/D converters should convert wideband signals and offer high resolutions. In order to achieve this and to overcome technological limitations, the A/D conversion systems should be versatile, i.e. it should be possible to adapt the conversion characteristics (resolution and bandwidth) by software. This work studies and adapts Hybrid Filter Banks (HFBs) in this context. First, HFBs, which can provide large conversion bandwidth, are extended to band-pass sampling, thus minimizing the sampling frequency. Then, we provide efficient ways of improving the HFB resolution in a smaller frequency band, only by reprogramming the digital part. Moreover, this study takes into account the main drawback of HFBs which is their very high sensitivity to analog imperfections. Simulation results are presented to demonstrate the performance of HFBs.

Pohsiang Cheng - One of the best experts on this subject based on the ideXlab platform.

  • fft based multirate signal processing for 18 band quasi ansi s1 11 1 3 octave filter bank
    IEEE Transactions on Circuits and Systems Ii-express Briefs, 2019
    Co-Authors: Chiakai Chan, Pohsiang Cheng
    Abstract:

    For characteristic analysis of the 24 KHz audio, the 10-ms, 18-band quasi-ANSI filter bank has been proposed and designed for advanced hearing aids. To greatly reduce the computation complexity, several time-domain multirate signal processing techniques, such as the up- and down-sampling rate conversions and the interpolated finite impulse response (IFIR) filters, were investigated. However, it is well known that using fast Fourier transform (FFT) to perform the linear convolution can dramatically reduce the computational complexity. Taking both advantages, in this brief we investigated the FFT-based multirate signal-processing technique and explored their efficient architecture. To demonstrate the success of the proposed architecture, we implemented a real-valued FFT-based 10.7-ms, 18-band quasi-ANSI 1/3-octave filter bank using TSMC 90-nm CMOS high-VT technology. We found that, for each input sample, the proposed FFT-based quasi-ANSI 1/3-octave filter bank used approximately 77% fewer multiplications than the previous time-domain design. The proposed FFT-based quasi-ANSI filter bank was operated at 13 MHz to process the 24-KHz audio in real time, and it consumed only $14~ \mu \text{W}$ (@0.9V) of dynamic power.