Ambiguity function analysis of human echolocator waveform by using gammatone filter processing

Abdullah, Raja Syamsul Azmir Raja; Saleh, Nur Luqman; Ahmad, Sharifah Mumtazah Syed; Salah, Asem A.; Rashid, Nur Emileen Abdul

doi:10.1049/joe.2019.0535

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…As N extends, the result is more exact, and the flawlessness of the data after the game plan increases, but the assessment time increases and the responsiveness reduces. In certified planning, the value of N is for the most part picked by unambiguous essentials to get the required isolating effect [24].…”

Section: Computerized Separating Strategy To Manage Little Variance I...mentioning

confidence: 99%

Application Research and Analysis of Intelligent Sensors in Tennis Serving Technical Correction Equipment

Wang

2022

Wireless Communications and Mobile Computing

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The traditional tennis serving teaching correction method has been deeply rooted, and in the current teaching, the teaching method based on experience has been used for a long time, relying on the subjective consciousness of the coach to guide and supervise the technical movements of the athletes. It is said that to master the essentials of technical movements proficiently, it is necessary to carry out long-term and repetitive exercises according to the coach’s guidance. This situation seriously restricts the improvement of the level of teaching and training. To solve the above problems, the combined application of smart sensors and microsystem technology is used to Sensing identify and intelligently correct the player serve technology. This article in the presentation part initially sums up the movement catch innovation and tennis serve innovation and development; then, at that point, in the strategy part presents the objective following calculation and normal denoising handling calculation; and then, at that point, in the trial part presents the person choice, exploratory program, plan astute sensor handling framework, and trial examination. This article mainly introduces the application, research, and analysis of smart sensors in tennis server technology correction equipment, to reduce the burden on players and coaches. This article proposes target following calculations, normal denoising handling calculations, and so on, which are utilized to lead research investigating the use of savvy sensors in tennis server innovation adjustment hardware. The trial aftereffects of this paper show that the normal acknowledgment exactness of the savvy sensor is 91.14%, and the acknowledgment precision is high, which can be better applied to the tennis serve innovation revision hardware.

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Section: Computerized Separating Strategy To Manage Little Variance I...mentioning

confidence: 99%

Application Research and Analysis of Intelligent Sensors in Tennis Serving Technical Correction Equipment

Wang

2022

Wireless Communications and Mobile Computing

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“…The BI process utilized a gammatone filter (GF) process in order to synthesize the mouth-click that was used in the detection process. In addition, the synthesized mouth-click signal using GF was extended into ambiguity function (AF) analysis [ 25 ]. Results of the analysis revealed that the ability to resolve Doppler-delay information from each filter output was unique.…”

Section: Introductionmentioning

confidence: 99%

Texture Classification Using Spectral Entropy of Acoustic Signal Generated by a Human Echolocator

Abdullah

Saleh

Rahman

et al. 2019

Entropy

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Human echolocation is a biological process wherein the human emits a punctuated acoustic signal, and the ear analyzes the echo in order to perceive the surroundings. The peculiar acoustic signal is normally produced by clicking inside the mouth. This paper utilized this unique acoustic signal from a human echolocator as a source of transmitted signal in a synthetic human echolocation technique. Thus, the aim of the paper was to extract information from the echo signal and develop a classification scheme to identify signals reflected from different textures at various distance. The scheme was based on spectral entropy extracted from Mel-scale filtering output in the Mel-frequency cepstrum coefficient of a reflected echo signal. The classification process involved data mining, features extraction, clustering, and classifier validation. The reflected echo signals were obtained via an experimental setup resembling a human echolocation scenario, configured for synthetic data collection. Unlike in typical speech signals, extracted entropy from the formant characteristics was likely not visible for the human mouth-click signals. Instead, multiple peak spectral features derived from the synthesis signal of the mouth-click were assumed as the entropy obtained from the Mel-scale filtering output. To realize the classification process, K-means clustering and K-nearest neighbor processes were employed. Moreover, the impacts of sound propagation toward the extracted spectral entropy used in the classification outcome were also investigated. The outcomes of the classifier performance herein indicated that spectral entropy is essential for human echolocation.

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Design and Implementation of Software Filtering Algorithm Based on FPGA

2021

Application of Intelligent Systems in Multi-Modal Information Analytics

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Ambiguity function analysis of human echolocator waveform by using gammatone filter processing

Cited by 7 publications

References 20 publications

Application Research and Analysis of Intelligent Sensors in Tennis Serving Technical Correction Equipment

Application Research and Analysis of Intelligent Sensors in Tennis Serving Technical Correction Equipment

Texture Classification Using Spectral Entropy of Acoustic Signal Generated by a Human Echolocator

Design and Implementation of Software Filtering Algorithm Based on FPGA

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