Low Complexity Frequency Monitoring Filter for Fast Exon Prediction Sequence Analysis

Massicotte, Daniel; Jaber, Marwan A.; Massicotte, Marie-Ange; Massicotte, Philippe

doi:10.1109/globalsip45357.2019.8969192

Cited by 12 publications

(19 citation statements)

References 17 publications

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“…In this subsection we will be deploying the radix-2 second order JM-Filter for the period-3 pattern detection as shown in Fig. 13 in which the FFT, Goertzel and the radix-2 JM-Filter have exactly given the same prediction of the period-3 behavior [13].…”

Section: Experimental Results In Genomic Signal Processingmentioning

confidence: 99%

“…Signal monitoring is an expanding domain that deals with the detection of any abrupt changes in a specific known frequency, such as fault detection machine, or to scan a preselected set of frequencies [1], the recognition of the dual-tone multi-frequency (DTMF) signaling [3] [4], as in radiofrequency identification (RFID) tags [5], spectrum analyzer based on sliding transforms [6] [7], in wireless communication with the orthogonal frequency division multiplex (OFDM) [8], channelizer [9], and modulated filter banks [10] where low complexity, low power consumption and high throughput are required, in the detection of coding regions in large DNA sequences [11], [12] and [13], and other domains such as the detection of any abrupt changes in a specific known frequency, deployed in resonance frequency estimation to tune notch filter in grid converter [14], in phase lock loop (PLL) [15] [16], in induction motor fault detection by space vector angular fluctuation [17], in real-time (remote/in-situ) detection and identification of physical properties and trace chemical/bio substances in industrial and other environments and cracks detection of structural surface [18]. More recently, many other applications on power electronics to monitoring component and smart grid power quality [19][20] [21].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the recursive one frequency algorithm proposed in [36], this paper will propose a novel recursive algorithm JM-Filter (Jaber-Massicotte Filter) that will reduce the number of iterations by a factor of r that will be deployed in the genomic DNA sequences in which the radix-2 JM-Filter detects the period-3 pattern in a coded Gene sequence [13].…”

Section: Introductionmentioning

confidence: 99%

“…The equations(13),(25),(29) and(15),(21),(27),(32) are repeated to ensure the complete uniformity of each version of the algorithm in which a (p) is computed according to the radices 2, 4 and 8.…”

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confidence: 99%

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The JM-Filter to Detect Specific Frequency in Monitored Signal

Jaber

Massicotte

2021

IEEE Trans. Signal Process.

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The Discrete Fourier Transform (DFT) is a mathematical procedure that stands at the center of the processing inside a Digital Signal Processor (DSP). It has been widely known and argued in relevant literature that the Fast Fourier Transform (FFT) is useless in detecting specific frequencies in a monitored signal of length N because most of the computed results are ignored. In this paper, we present an efficient FFT-based method to detect specific frequencies in a monitored signal, which will then be compared to the most frequently used method which is the recursive Goertzel algorithm that detects and analyses one selectable frequency component from a discrete signal. The proposed JM-Filter algorithm presents a reduction of iterations compared to the first and second order Goertzel algorithm by a factor of r, where r represents the radix of the JM-Filter. The obtained results are significant in terms of computational reduction and accuracy in fixed-point implementation. Gains of 15 dB and 19 dB in signal to quantization noise ratio (SQNR) were respectively observed for the proposed first and second order radix-8 JM-Filter in comparison to Goertzel algorithm.

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Section: Experimental Results In Genomic Signal Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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The JM-Filter to Detect Specific Frequency in Monitored Signal

Jaber

Massicotte

2021

IEEE Trans. Signal Process.

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“…For our analysis, this number was 3044 million searches per week for desktop searches and 6088 million searches in total, assuming that desktop searches amount to 50% of total Google searches. We fitted a seasonal autoregressive integrated moving average model using the R package gtrendsr [ 8 ] to estimate the excess search count after the start of the pandemic compared to the years before, while taking into account seasonal patterns recurring throughout the year. The increase in search activity was estimated by taking the ratio of the average weekly number of searches before and after the interruption point (March 11, 2020, when the World Health Organization declared COVID-19 a pandemic).…”

Section: Increases In Child Maltreatment–related Search Termsmentioning

confidence: 99%

Internet Searches for Terms Related to Child Maltreatment During COVID-19: Infodemiology Approach

Riem¹,

Carli²,

Guo³

et al. 2021

JMIR Pediatr Parent

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We examined internet searches indicative of abusive parental behaviors before and after the World Health Organization’s declaration of COVID-19 as a pandemic (March 11, 2020) and subsequent lockdown measures in many countries worldwide. Using Google Trends, we inferred search trends between December 28, 2018, and December 27, 2020, for queries consisting of “mother,” “father,” or “parents” combined with each of the 11 maltreatment-related verbs used in the Conflict Tactics Scales, Parent-Child version. Raw search counts from the Google Trends data were estimated using Comscore. Of all 33 search terms, 28 terms showed increases in counts after the lockdowns began. These findings indicate a strong increase in internet searches relating to occurrence, causes, or consequences of emotional and physical maltreatment since the lockdowns began and call for the use of maltreatment-related queries to direct parents or children to online information and support.

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2D Heterostructures for Ubiquitous Electronics and Optoelectronics: Principles, Opportunities, and Challenges

et al. 2022

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A grand family of two-dimensional (2D) materials and their heterostructures have been discovered through the extensive experimental and theoretical efforts of chemists, material scientists, physicists, and technologists. These pioneering works contribute to realizing the fundamental platforms to explore and analyze new physical/chemical properties and technological phenomena at the micro–nano–pico scales. Engineering 2D van der Waals (vdW) materials and their heterostructures via chemical and physical methods with a suitable choice of stacking order, thickness, and interlayer interactions enable exotic carrier dynamics, showing potential in high-frequency electronics, broadband optoelectronics, low-power neuromorphic computing, and ubiquitous electronics. This comprehensive review addresses recent advances in terms of representative 2D materials, the general fabrication methods, and characterization techniques and the vital role of the physical parameters affecting the quality of 2D heterostructures. The main emphasis is on 2D heterostructures and 3D-bulk (3D) hybrid systems exhibiting intrinsic quantum mechanical responses in the optical, valley, and topological states. Finally, we discuss the universality of 2D heterostructures with representative applications and trends for future electronics and optoelectronics (FEO) under the challenges and opportunities from physical, nanotechnological, and material synthesis perspectives.

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Low Complexity Frequency Monitoring Filter for Fast Exon Prediction Sequence Analysis

Cited by 12 publications

References 17 publications

The JM-Filter to Detect Specific Frequency in Monitored Signal

The JM-Filter to Detect Specific Frequency in Monitored Signal

Internet Searches for Terms Related to Child Maltreatment During COVID-19: Infodemiology Approach

2D Heterostructures for Ubiquitous Electronics and Optoelectronics: Principles, Opportunities, and Challenges

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