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An Audio Signal Segmentation and Classification …
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.197.5655&rep=rep1&type=pdf
An audio signal is given, and power of its nth granule E(n) can be computed as follows: E(n)= 32 i=1 18 j=1 {F n(i,j)}2, (1) where i and j denote the sub-band number and sample number, respectively. Fn(i,j) denotes the DCT coefficient of nth granule, ith sub-band, and jth sample. 0 Power of the Audio Signal E(n) Audio-Cut C(n 1) ≅ 1 n W1 W1 W1 W1 L1 R1 L2 R2 n -W n n +W
Uncertainty, fuzzy logic, and signal processing
https://sipi.usc.edu/~mendel/publications/Mendel%20SP%202000.pdf
Signal Processing 80 (2000) 913}933 Uncertainty, fuzzy logic, and signal processing Jerry M. Mendel* Signal and Image Processing Institute, Department of Electrical Engineering Systems, University of Southern California, Los Angeles, CA 90089-2564, USA Received 30 April 1999; received in revised form 15 November 1999 Abstract
Neuro-fuzzy Logic in Signal Processing for Communications ...
https://link.springer.com/chapter/10.1007/11613107_2
The present work shows how communication systems benefit from fuzzy logic. From signal processing applications, which process bits at the physical layer in order to face complicate problems of non-Gaussian noise, to practical and robust implementations of these systems and up to higher layers in the communication chain, which are engaged in the protocol …
(PDF) An analysis of content-based classification of …
https://www.academia.edu/27212451/An_analysis_of_content_based_classification_of_audio_signals_using_a_fuzzy_c_means_algorithm
Content-based audio signal classification into broad categories such as speech, music, or speech with noise is the first step before any further processing such as speech recognition, content-based indexing, or surveillance systems. In this paper, we
Digital signal processing using fuzzy clustering - NASA/ADS
https://ui.adsabs.harvard.edu/abs/1991STIA...9221975A/abstract
A novel digital signal processing technique fuzzy filtering is proposed for estimating nonstationary signals with ambiguous changes, which are contaminated by additive white Gaussian noises. In this filter, fuzzy clustering is utilized for classifying signal components into groups in which the signal characteristics are considered to be similar.
Virtual Bass System With Fuzzy Separation of Tones and ...
https://www.dafx.de/paper-archive/2020/proceedings/papers/DAFx2020_paper_40.pdf
transient, and noisy parts of the audio signal in a fuzzy way, and thenprocessesonlythetransientsandtones. Thoseupperharmon-ics, which can be detected above the cutoff frequency, are boosted using timbre-matched weights, but missing upper harmonics are generated to assist the missing fundamental phenomenon. Listen-
Virtual Bass System With Fuzzy Separation of Tones and ...
http://research.spa.aalto.fi/publications/papers/dafx20-vbs/media/DAFx2020_vbs.pdf
transient, and noisy parts of the audio signal in a fuzzy way, and thenprocessesonlythetransients andtones. Thoseupper harmon-ics, which can be detected above the cutoff frequency, as boosted using timbre-matched weights, but missing upper harmonics are generated to assist the missing fundamental phenomenon. Lis-
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