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Automatic heart sound abnormality detection can play a vital role in the early diagnosis of heart diseases, particularly in low-resource settings. The state-of-the-art algorithms for this task utilize a set of Finite Impulse Response (FIR)…

计算机视觉与模式识别 · 计算机科学 2019-04-25 Ahmed Imtiaz Humayun , Shabnam Ghaffarzadegan , Zhe Feng , Taufiq Hasan

Hearing aid is an electroacoustic device used to selectively amplify the audio sounds with an aim to make speech more intelligible for a hearing impaired person. Filter bank is one of the important parts of digital hearing aid where the sub…

声音 · 计算机科学 2020-12-22 Arun Sebastian , Manu Francis , Arun Mathew

A simple procedure for the design of recursive digital filters with an infinite impulse response (IIR) and non-recursive digital filters with a finite impulse response (FIR) is described. The fixed-lag smoothing filters are designed to…

信号处理 · 电气工程与系统科学 2025-07-22 Hugh Lachlan Kennedy

This work proposes an online adaptive identification method for multi-input multi-output (MIMO) switched affine systems with guaranteed parameter convergence. A family of online parameter estimators is used that is equipped with a…

系统与控制 · 电气工程与系统科学 2022-04-08 Pritesh Patel , Sayan Basu Roy , Shubhendu Bhasin

The adaptive identification of the impulse response of an innovation filter is considered. The impulse response is a finite sum of known basis functions with unknown coefficients. These unknown coefficients are estimated using a…

统计方法学 · 统计学 2020-02-18 Andrew P. Mullhaupt , Kurt S. Riedel

Many signal processing applications require digital filters with variable frequency characteristics, especially the filters with variable bandwidth. Due to their linear phase and inherent stability, variable bandwidth finite impulse…

信号处理 · 电气工程与系统科学 2018-04-10 Sumedh Dhabu , Abhishek Ambede , Smitha K. G. , Sumit Darak and , A. P. Vinod

We present a novel end-to-end deep learning-based adaptation control algorithm for frequency-domain adaptive system identification. The proposed method exploits a deep neural network to map observed signal features to corresponding…

音频与语音处理 · 电气工程与系统科学 2022-03-07 Thomas Haubner , Andreas Brendel , Walter Kellermann

There are two main methods to implement FIR filters: software and hardware. In the software method, an FIR filter can be implemented within the processor by programming; it uses too much memory and it is extremely time-consuming while it…

信号处理 · 电气工程与系统科学 2019-04-11 Mohammad Hemmati , Vahid Rashtchi , Ahmad Maleki , Siroos Toofan

The feedforward selective fixed-filter method selects the most suitable pre-trained control filter based on the spectral features of the detected reference signal, effectively avoiding slow convergence in conventional adaptive algorithms.…

信号处理 · 电气工程与系统科学 2025-08-04 Hong-Cheng Liang , Man-Wai Mak , Kong Aik Lee

The efficacy of active noise control technology in mitigating urban noise, particularly in relation to low-frequency components, has been well-established. In the realm of traditional academic research, adaptive algorithms, such as the…

音频与语音处理 · 电气工程与系统科学 2023-10-09 Guo Yu

The increased temporal and spectral resolution of oversampled systems allows many sensor-signal analysis tasks to be performed (e.g. detection, classification and tracking) using a filterbank of low-pass digital differentiators. Such…

系统与控制 · 电气工程与系统科学 2021-10-04 Hugh L. Kennedy

This paper introduces two new algorithms to accurately estimate the process noise covariance of a discrete-time Kalman filter online for robust orbit determination in the presence of dynamics model uncertainties. Common orbit determination…

信号处理 · 电气工程与系统科学 2021-05-17 Nathan Stacey , Simone D'Amico

Online system identification algorithms are widely used for monitoring, diagnostics and control by continuously adapting to time-varying dynamics. Typically, these algorithms consider a model structure that lacks parsimony and offers…

系统与控制 · 电气工程与系统科学 2025-04-28 Koen Classens , Rodrigo A. González , Tom Oomen

Digital filters with variable bandwidth can be used for a variety of applications. Arbitrary change in the bandwidth of a digital Finite Impulse Response (FIR) filter can be acquired using sampling rate converters. In this paper, a sampling…

信号处理 · 电气工程与系统科学 2021-09-27 Sushmitha Sajeevu , V. Sakthivel

Due to its rapid response time and a high degree of robustness, the selective fixed-filter active noise control (SFANC) method appears to be a viable candidate for widespread use in a variety of practical active noise control (ANC) systems.…

机器学习 · 计算机科学 2022-08-19 Zhengding Luo , Dongyuan Shi , Woon-Seng Gan

Filtering for stochastic reaction networks (SRNs) is an important problem in systems/synthetic biology aiming to estimate the state of unobserved chemical species. A good solution to it can provide scientists valuable information about the…

定量方法 · 定量生物学 2021-10-18 Zhou Fang , Ankit Gupta , Mustafa Khammash

In this paper we characterize and construct novel oversampled filter banks implementing fusion frames. A fusion frame is a sequence of orthogonal projection operators whose sum can be inverted in a numerically stable way. When properly…

信息论 · 计算机科学 2015-10-28 Amina Chebira , Matthew Fickus , Dustin G. Mixon

Shape- and scale-selective digital-filters, with steerable finite/infinite impulse responses (FIR/IIRs) and non-recursive/recursive realizations, that are separable in both spatial dimensions and adequately isotropic, are derived. The…

信号处理 · 电气工程与系统科学 2020-08-19 Hugh L. Kennedy

Diffraction limited resolution adaptive optics (AO) correction in visible wavelengths requires a high performance control. In this paper we investigate infinite impulse response filters that optimize the wavefront correction: we tested…

天体物理仪器与方法 · 物理学 2015-06-05 G. Agapito , C. Arcidiacono , F. Quirós-Pacheco , A. Puglisi , S. Esposito

Filtering is concerned with the sequential estimation of the state, and uncertainties, of a Markovian system, given noisy observations. It is particularly difficult to achieve accurate filtering in complex dynamical systems, such as those…

概率论 · 数学 2015-12-14 Wonjung Lee , Andrew Stuart
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