Ali Akansu
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Ali Akansu
Ali Naci Akansu (born May 6, 1958) is a Turkish-American Professor of electrical & computer engineering and scientist in applied mathematics. He is best known for his seminal contributions to the theory and applications of linear subspace methods including sub-band and wavelet transforms, particularly the binomial QMF (also known as Daubechies wavelet) and the multivariate framework to design statistically optimized filter bank (eigen filter bank). Biography Akansu received his B.S. degree from the Istanbul Technical University, Turkey, in 1980, his M.S. and PhD degrees from the Polytechnic University (now New York University), Brooklyn, New York, in 1983 and 1987, respectively, all in Electrical Engineering. Since 1987, he has been with the New Jersey Institute of Technology where he is a Professor of Electrical and Computer Engineering. He was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University, 2009–2010. In 1990, he showed th ...
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Turkish-American
Turkish Americans ( tr, Türk Amerikalılar) or American Turks are Americans of ethnic Turkish origin. The term "Turkish Americans" can therefore refer to ethnic Turkish immigrants to the United States, as well as their American-born descendants, who originate either from the Ottoman Empire or from post-Ottoman modern nation-states. The majority trace their roots to the Republic of Turkey, however, there are also significant ethnic Turkish communities in the US which descend from the island of Cyprus, the Balkans, North Africa, the Levant and other areas of the former Ottoman Empire. Furthermore, in recent years there has been a significant number of ethnic Turkish people coming to the US from the modern Turkish diaspora (i.e. outside the former Ottoman territories), especially from the Turkish Meskhetian diaspora in Eastern Europe (e.g. from Krasnodar Krai in Russia) and " Euro-Turks" from Central and Western Europe (e.g. Turkish Germans etc.). History Ottoman Turkish m ...
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Wavelet
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation". A taxonomy of wavelets has been established, based on the number and direction of its pulses. Wavelets are imbued with specific properties that make them useful for signal processing. For example, a wavelet could be created to have a frequency of Middle C and a short duration of roughly one tenth of a second. If this wavelet were to be convolved with a signal created from the recording of a melody, then the resulting signal would be useful for determining when the Middle C note appeared in the song. Mathematically, a wavelet correlates with a signal if a portion of the signal is similar. Correlation is at the core of many practical wavelet applications. As a mathematical tool, wavelets can be used to extract information from many different kinds of data, including but not limited to au ...
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Thomas J
Clarence Thomas (born June 23, 1948) is an American jurist who serves as an associate justice of the Supreme Court of the United States. He was nominated by President George H. W. Bush to succeed Thurgood Marshall and has served since 1991. After Marshall, Thomas is the second African American to serve on the Court and its longest-serving member since Anthony Kennedy's retirement in 2018. Thomas was born in Pin Point, Georgia. After his father abandoned the family, he was raised by his grandfather in a poor Gullah community near Savannah. Growing up as a devout Catholic, Thomas originally intended to be a priest in the Catholic Church but was frustrated over the church's insufficient attempts to combat racism. He abandoned his aspiration of becoming a clergyman to attend the College of the Holy Cross and, later, Yale Law School, where he was influenced by a number of conservative authors, notably Thomas Sowell, who dramatically shifted his worldview from progressive to ...
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Sarnoff Corporation
Sarnoff Corporation was a research and development company specializing in vision, video and semiconductor technology. It was named for David Sarnoff, the longtime leader of RCA and NBC, and had headquarters in West Windsor Township, New Jersey, though with a Princeton address. The cornerstone of Sarnoff Corporation's David Sarnoff Research Center in the Princeton vicinity was laid just before the attack on Pearl Harbor in 1941. That facility, later Sarnoff Corporation headquarters, was the site of several historic developments, including color television, CMOS integrated circuit technology and electron microscopy. Following 47 years as a central research laboratory for its corporate owner RCA (and briefly for successor GE) as RCA Laboratories, in 1988 the David Sarnoff Research Center was transitioned to Sarnoff Corporation, a wholly owned subsidiary of SRI International. In January 2011, Sarnoff Corporation was integrated into its parent company, SRI International, and cont ...
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Peer-to-peer
Peer-to-peer (P2P) computing or networking is a distributed application architecture that partitions tasks or workloads between peers. Peers are equally privileged, equipotent participants in the network. They are said to form a peer-to-peer network of nodes. Peers make a portion of their resources, such as processing power, disk storage or network bandwidth, directly available to other network participants, without the need for central coordination by servers or stable hosts. Peers are both suppliers and consumers of resources, in contrast to the traditional client–server model in which the consumption and supply of resources are divided. While P2P systems had previously been used in many application domains, the architecture was popularized by the file sharing system Napster, originally released in 1999. The concept has inspired new structures and philosophies in many areas of human interaction. In such social contexts, peer-to-peer as a meme refers to the egalitarian so ...
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IDT Entertainment
Starz Distribution (formerly IDT Entertainment and Starz Media) is the motion picture, animation, television, and home video operating unit of Starz Inc., a subsidiary of Lionsgate. Starz Distribution develops, produces, and acquires original programming content (through Starz Originals), feature films, and other filmed entertainment. Distribution methods include DVD, digital formats and traditional television. History In 2003, IDT Corporation, a telecommunications company based in New Jersey, formed a film, home entertainment and television division known as IDT Entertainment following its acquisition of the animation studio Film Roman. Later on in the year, it acquired Anchor Bay Entertainment, owned DPS, and stakes in Mainframe Entertainment and Vanguard Animation, and also acquired DKP Studios and turned it into their own animation studio. In May 2004, IDT Entertainment purchased a minority share in POW! Entertainment with exclusive distribution rights to POW's animated ...
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IDT Corporation
IDT Corporation (originally standing for International Discount Telecommunications) is a multinational provider of cloud communications, point of sale systems, unified communications, and financial services for businesses and consumers, headquartered in Newark, New Jersey. Overview IDT's first service was ''callback'', which was based on the idea that "it costs two and three times as much to call from overseas as it does the other way." History IDT was founded by entrepreneur Howard Jonas in August 1990. He founded the company after opening a sales office in Israel, receiving large international phone bills and then discovering a way to lower them by re-originating calls in the United States. In 1996, IDT founded Net2Phone, the world's fourth-largest VoIP provider (2017), and sold 32% of Net2Phone in August 2000 to AT&T for $1.1 billion in cash. Acquisitions and spinoffs * November 2004: launched IDT Energy, a retail energy business. It and other energy-related businesses w ...
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Financial Engineering
Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance.Tanya S. Beder and Cara M. Marshall, ''Financial Engineering: The Evolution of a Profession'', Wiley (June 7, 2011) 978-0470455814 Financial engineering plays a key role in the customer-driven derivatives business — delivering bespoke OTC-contracts and "exotics", and implementing various structured products — which encompasses quantitative modelling, quantitative programming and risk managing financial products in compliance with the regulations and Basel capital/liquidity requirements. An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. Mathematical finance is the application of m ...
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Quantitative Finance
Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets. In general, there exist two separate branches of finance that require advanced quantitative techniques: derivatives pricing on the one hand, and risk and portfolio management on the other. Mathematical finance overlaps heavily with the fields of computational finance and financial engineering Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathema .... The latter focuses on applications and modeling, often by help of stochastic asset models, while the former focuses, in addition to analysis, on building tools of implementation for the models. Also related is quantitative investing, which relies on statistical and nu ...
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Financial Signal Processing
Financial signal processing is a branch of signal processing technologies which applies to signals within financial markets. They are often used by quantitative analysts to make best estimation of the movement of financial markets, such as stock prices, options prices, or other types of derivatives. History The modern start of financial signal processing is often credited to Claude Shannon. Shannon was the inventor of modern communication theory. He discovered the capacity of a communication channel by analyzing entropy of information. For a long time, financial signal processing technologies have been used by different hedge funds, such as Jim Simon's Renaissance Technologies. However, hedge funds usually do not reveal their trade secrets. Some early research results in this area are summarized by R.H. Tütüncü and M. Koenig and by T.M. Cover, J.A. Thomas. A.N. Akansu and M.U. Torun published the book in financial signal processing entitled ''A Primer for Financial Engine ...
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Digital Watermarking
A digital watermark is a kind of marker covertly embedded in a noise-tolerant signal such as audio, video or image data. It is typically used to identify ownership of the copyright of such signal. "Watermarking" is the process of hiding digital information in a carrier signal; the hidden information should,Ingemar J. Cox: ''Digital watermarking and steganography''. Morgan Kaufmann, Burlington, MA, USA, 2008 but does not need to, contain a relation to the carrier signal. Digital watermarks may be used to verify the authenticity or integrity of the carrier signal or to show the identity of its owners. It is prominently used for tracing copyright infringements and for banknote authentication. Like traditional physical watermarks, digital watermarks are often only perceptible under certain conditions, e.g. after using some algorithm.Frank Y. Shih: ''Digital watermarking and steganography: fundamentals and techniques''. Taylor & Francis, Boca Raton, FL, USA, 2008 If a digital watermark ...
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Sparse Approximation
Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations. Techniques for finding these solutions and exploiting them in applications have found wide use in image processing, signal processing, machine learning, medical imaging, and more. Sparse decomposition Noiseless observations Consider a linear system of equations x = D\alpha, where D is an underdetermined m\times p matrix (m < p) and x \in \mathbb^m,\alpha \in \mathbb^p. The matrix D (typically assumed to be full-rank) is referred to as the dictionary, and x is a signal of interest. The core sparse representation problem is defined as the quest for the sparsest possible representation \alpha satisfying x = D\alpha. Due to the underdetermined nature of D, this linear system admits in general infinitely many possible solutions, and among these we seek the one with the fewe ...
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