Corrigendum to “Seismic signal sparse time–frequency representation by Lp-quasinorm constraint” [Digital Signal Processing 87 (2019) 43–59]

2019 ◽  
Vol 89 ◽  
pp. 186
Author(s):  
Yingpin Chen ◽  
Zhenming Peng ◽  
Ali Gholami ◽  
Jingwen Yan ◽  
Shu Li
2013 ◽  
Vol 684 ◽  
pp. 653-656
Author(s):  
Yu Jian Du ◽  
Zu Bin Chen ◽  
Teng Yu ◽  
Yang Yang

With the information era and the advent of the digital world, digital signal processing has become extremely important in today's one of the disciplines and technical fields.Digital signal processing in seismic signal ,communications, voice, image, automatic control radar, and other fields has been widely used.In this paper,I design several kind of FIR digital filters based on virtual instrument to solve the problem that signal noise reduction.


2015 ◽  
Vol 9 (1) ◽  
pp. 399-407
Author(s):  
Fan Bai

Acoustic or perceptual cues used for speech perception can be very helpful in almost all areas of speech signal processing. A new methodology 3-Dimensional-Deep Search and a new visualized intelligible time-frequency computerbased model AI-gram have been developed and are being researched since the last several years (Human Speech Recognition (HSR) research group at the University of Illinois Urbana-Champaign) for isolation of stable perceptual cues of consonants. The perceptual cues of nasal consonants [1] have been successfully found considering these techniques [1]. The previous work is extended by assessing the changes in nasal sound perception and cue region is modified by using digital signal processing method. The amplitude of the perceptual cue region is amplified, attenuated or ignored completely and then the perception score is measured. A high correlation between the amplitude of the cue region and the perception score is found. The intelligibility of the entire token is increased or decreased approximately in a similar fashion as the cue region modified amplitude which is measured by the MMSE shift of the perceptual score curve. This validates that the regions identified are perceptual cue regions for nasal consonants. The digital signal processing method proposed can be used as a new approach for enhancing speech signal in noisy conditions.


2020 ◽  
Author(s):  
Chen Ming ◽  
Stephanie Haro ◽  
Andrea Megela Simmons ◽  
James A. Simmons

AbstractComputational models of animal biosonar seek to identify critical aspects of echo processing responsible for the superior, real-time performance of echolocating bats and dolphins in target tracking and clutter rejection. The Spectrogram Correlation and Transformation (SCAT) model replicates aspects of biosonar imaging in both species by processing wideband biosonar sounds and echoes with auditory mechanisms identified from experiments with bats. The model acquires broadband biosonar broadcasts and echoes, represents them as time-frequency spectrograms using parallel bandpass filters, translates the filtered signals into ten parallel amplitude threshold levels, and then operates on the resulting time-of-occurrence values at each frequency to estimate overall echo range delay. It uses the structure of the echo spectrum by depicting it as a series of local frequency nulls arranged regularly along the frequency axis of the spectrograms after dechirping them relative to the broadcast. Computations take place entirely on the timing of threshold-crossing events for each echo relative to threshold-events for the broadcast. Threshold-crossing times take into account amplitude-latency trading, a physiological feature absent from conventional digital signal processing. Amplitude-latency trading transposes the profile of amplitudes across frequencies into a profile of time-registrations across frequencies. Target shape is extracted from the spacing of the object’s individual acoustic reflecting points, or glints, using the mutual interference pattern of peaks and nulls in the echo spectrum. These are merged with the overall range-delay estimate to produce a delay-based reconstruction of the object’s distance as well as its glints. Clutter echoes indiscriminately activate multiple parts in the null-detecting system, which then produces the equivalent glint-delay spacings in images, thus blurring the overall echo-delay estimates by adding spurious glint delays to the image. Blurring acts as an anticorrelation process that rejects clutter intrusion into perceptions.Author summaryBats and dolphins use their biological sonar as a versatile, high-resolution perceptual system that performs at levels desirable in man-made sonar or radar systems. To capture the superior real-time capabilities of biosonar so they can be imported into the design of new man-made systems, we developed a computer model of the sonar receiver used by echolocating bats and dolphins. Our intention was to discover the processing methods responsible for the animals’ ability to find and identify targets, guide locomotion, and prevent classic types of sonar or radar interference that hamper performance of man-made systems in complex, rapidly-changing surroundings. We have identified several features of the ears, hearing, time-frequency representation, and auditory processing that are critical for organizing echo-processing methods and display manifested in the animals’ perceptions.


Measurement ◽  
2019 ◽  
Vol 145 ◽  
pp. 71-83 ◽  
Author(s):  
Rogério Thomazella ◽  
Wenderson Nascimento Lopes ◽  
Paulo Roberto Aguiar ◽  
Felipe Aparecido Alexandre ◽  
Arthur Alves Fiocchi ◽  
...  

2013 ◽  
Vol 2 (3) ◽  
pp. 230
Author(s):  
Oyetunji Samson Ade' ◽  
Daniel Ale

The development of a teaching aid module for digital Signal processing (DSP) in Nigeria Universities was undertaken to address the problem associated with non-availability instructional module. This paper annexes the potential of Peripheral Interface Controllers (PICs) with MATLAB resources to develop a PIC-based system with graphic user interface environment suitable for data acquisition and signal processing. The module accepts data from three different sources: real time acquisition, pre-recorded data acquisition and software-generated data. The developed system is able to perform analysis on both stationary and non-stationary signals using Fast Fourier Transform (FFT) and Short Time Fourier Transform (STFT). The STFT-based approach provides Improved Joint Time Frequency Analysis (IJTFA) of signals. A graphical user interface (GUI) was developed to create interactive environment for understanding the operations of digital signal processing. The developed system not only provides interactive platform for data acquisition, spectral analysis and filter design but also makes it avoidable to students in Nigeria University.


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