Jallouli mohamed ali biography

Toward new multi-wavelets: associated filters and algorithms. Part I: theoretical framework and investigation of biomedical signals, ECG, and coronavirus cases

1 Introduction and motivations

Signal/image processing studies digital signals/images, and their transformations, with the aim of improving their quality, extracting information, description, analyzing, and interpreting, control, filtering, compression, and transmission of data, de-noising, prediction, identification, and classification. These aims are met in many fields such as medicine, sound, geography, town planning, photography.

In theory, image/signal processing is a domain of science that is not recent, but in contrast, it is developed till the early discovery of Fourier analysis, and generally, linear transformations. See for example Bacchelli et al. (2002), Kotas and Moron (2017), Mallat (2008), and Wang et al. (2016).

It consists of a box of techniques, and/or methods, mathematical, and/or physical, theoretical, and/or applied that aims to modify or to convert a signal/image in another form in order to improve it, and/or to extract information (See Kotas and Moron 2017; Mallat 2008; Wang et al. 2016).

One of the important types of signals/images that attract researchers are biomedical ones. It is, for example, worthy to recall the pandemics, which appear in many periods somehow suddenly, and which cause a real threatening for humanity. Corona-type pandemics are one of them. They therefore need to be understood, such as SARS, H2N2, and the new coronavirus COVID-19.

One of the powerful tools in such topics is wavelet theory, which has been proved to be challenging since its discovery. Recently, a step forward has been also conducted to extend wavelets to multi-wavelets (another face of wavelets) to improve the theme of wavelet theory and its applications such as in signal processing. One of our aims in the present work is to improve multi-wavelet notion by adopting more general families of

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    Habib Bourguiba

    President of Tunisia from 1957 to 1987

    This article may need to be rewritten to comply with Wikipedia's quality standards, as article suffers frequent nonsense grammar and may suffer political bias as alleged on Talk page.You can help. The talk page may contain suggestions.(July 2018)

    Habib Bourguiba (boor-GHEE-bə; Tunisian Arabic: الحبيب بورقيبة, romanized: il-Ḥbīb Būrgībah; Standard Arabic: الحبيب أبو رقيبة, romanized: al-Ḥabīb Abū Ruqaybah; 3 August 1903 – 6 April 2000) was a Tunisian lawyer, nationalist leader and statesman who led the country from 1956 to 1957 as the prime minister of the Kingdom of Tunisia (1956–1957) then as the first president of Tunisia (1957–1987). Prior to his presidency, he led the nation to independence from France, ending the 75-year-old protectorate and earning the title of "Supreme Combatant".

    Born in Monastir to a poor family, he attended Sadiki College and Lycée Carnot in Tunis before obtaining his baccalaureate in 1924. He graduated from the University of Paris and the Paris Institute of Political Studies (Sciences Po) in 1927 and returned to Tunis to practice law. In the early 1930s, he became involved in anti-colonial and Tunisian national politics, joining the Destour party and co-founding the Neo Destour in 1934. He became a key figure of the independence movement and was repeatedly arrested by the colonial administration. His involvement in the riots of 9 April 1938 resulted in his exile to Marseille during World War II.

    In 1945, following Bourguiba's release, he moved to Cairo, Egypt to seek the support of the Arab League. He returned to Tunisia in 1949 and rose to prominence as the leader of the national movement. Although initially committed to peaceful negotiations with the French government, he had an effective role in the armed unrest that started in 1952 when they proved to be unsuccessful. He was arrested and imprisoned on La

      Jallouli mohamed ali biography
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