Canonical processes

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  • Lecture Digital signal processing - Chapter 6 introduce transfer function and digital filter realization. In this chapter, you will learn to: Transfer functions (Impulse response, difference equation, impulse response,...), digital filter realization (Direct form, canonical form, cascade form).

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  • 1.2 Canonical Level This intermediate level of representation usually consists of the verb itself, (or perhaps a more primitive semantic predicate chosen to represent the verb) and a list of possible roles, e.g. arguments to the predicate. These roles correspond loosely to a union of the various semantic types indicated in the schemas. The schemas above could all easily map i n t o : SUPPORTS(l,2, ,).

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  • am delighted to see a book on multimedia semantics covering metadata, analysis, and interaction edited by three very active researchers in the field: Troncy, Huet, and Schenk. This is one of those projects that are very difficult to complete because the field is advancing rapidly in many different dimensions. At any time, you feel that many important emerging areas may not be covered well unless you see the next important conference in the field. A state of the art book remains a moving, often elusive, target. But this is only a part of the dilemma.

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  • This paper describes a novel approach to generate potential foreign-accented phonetic transcriptions using phonological rewrite rules. For each pair of a native language (Li) and a target language (L2), a set of postlexical rules is designed to transform canonical phonetic dictionaries of L2 into adapted dictionaries for native Li speakers. Some general considerations on the design of such a rule-based system are presented.

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  • We propose an unsupervised method for distinguishing literal and non-literal usages of idiomatic expressions. Our method determines how well a literal interpretation is linked to the overall cohesive structure of the discourse. If strong links can be found, the expression is classified as literal, otherwise as idiomatic. We show that this method can help to tell apart literal and non-literal usages, even for idioms which occur in canonical form.

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  • Much of what we know about speech perception comes from laboratory studies with clean, canonical speech, ideal listeners and artificial tasks.

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  • Are these differences real or apparent? Riesbeck's parser i~ implemented as n production system, in which input text can either ssti~{y the condition side of any production rule within ~ packet of currently-active rules, or else interrupt processing by disabling the current packet of rules and enabling ('triggering') a new packet of rules. In operation, the main verb of each segment of text is located, and a pointer to its lexical decomposition (canonical form) is established in memory.

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  • The EOS 60D is a high-performance, digital single-lens reflex camera featuring a fine-detail CMOS sensor with approx. 18.0 effective megapixels, DIGIC 4, high-precision and high-speed 9-point AF, approx. 5.3 fps continuous shooting, Live View shooting, and Full HD (Full High-Definition) movie shooting. The camera is highly responsive for shooting at anytime, provides many functions fitted for advanced shooting, and offers many other features.

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  • RF/IF Conversion Segment Tradeoffs This chapter introduces the system-level design tradeoffs of the RF conversion segment. Software radios require wideband RF/IF conversion, large dynamic range, and programmable analog signal processing parameters. In addition, a high-quality SDR architecture includes specific measures to mitigate the interference readily generated by SDR operation. I. RF CONVERSION ARCHITECTURES The RF conversion segment of the canonical software radio is illustrated in Figure 8-1. The antenna segment may provide a single element for both transmission and reception....

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  • One of the difficulties I had when trying to learn Node.js was how to get started. The references that I found either dealed with quasi-academic topics such as data grams and event emitters, or else myopically focused on a topic without regard for the big picture. This book takes you through the complete process of building an application in Node.js. It starts with the canonical “Hello World” example, and goes on to build a real-time web application capable of sending trading information to thousands of connected clients. What make Node.

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  • This paper addresses the issue of text normalization, an important yet often overlooked problem in natural language processing. By text normalization, we mean converting ‘informally inputted’ text into the canonical form, by eliminating ‘noises’ in the text and detecting paragraph and sentence boundaries in the text. Previously, text normalization issues were often undertaken in an ad-hoc fashion or studied separately. This paper first gives a formalization of the entire problem.

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