Discrete

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  • This book offers an understanding of electronic devices and circuits, and how they operate from a technician's perspective. Full of drawings, examples and lab experiments, this text offers the student hands-on experience in preparing to become an electronics technician. Basic discrete components make up 35% of the content of the text, with the balance dedicated to integrated circuits and other topics.

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  • The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octavescale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The DWT algorithms were initially based on the compactly supported conjugate quadrature filters (CQFs). However, a drawback in CQFs is due to the nonlinear phase effects such as spatial dislocations in multi-scale analysis.

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  • DWTs are constantly used to solve and treat more and more advanced problems. The DWT algorithms were initially based on the compactly supported conjugate quadrature filters (CQFs). However, a drawback in CQFs is due to the nonlinear phase effects such as spatial dislocations in multi-scale analysis. This is avoided in biorthogonal discrete wavelet transform (BDWT) algorithms, where the scaling and wavelet filters are symmetric and linear phase. The biorthogonal filters are usually constructed by a ladder-type network called lifting scheme.

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  • Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous. In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics – such as integers, graphs, and statements in logic[1] – do not vary smoothly in this way, but have distinct, separated values.

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  • Tham khảo sách 'mathematics of the discrete fourier transform', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • The Discrete Event Simulation (DES) method has received widespread attention and acceptance by both researchers and practitioners in recent years. The range of application of DES spans across many different disciplines and research fields. In research, further development and advancements of the basic DES algorithm continue to be sought while various hybrid methods derived by combining DES with other simulation techniques continue to be developed.

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  • We provide a class of necessary and sufficient conditions for the discreteness of spectrum of Schr¨dinger operators with scalar potentials which o are semibounded below. The classical discreteness of spectrum criterion by A. M. Molchanov (1953) uses a notion of negligible set in a cube as a set whose Wiener capacity is less than a small constant times the capacity of the cube. We prove that this constant can be taken arbitrarily between 0 and 1. This solves a problem formulated by I. M. Gelfand in 1953. Moreover, we extend the notion of negligibility by allowing the constant to...

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  • Studies assessing rating scales are very common in psychology and related fields, but are rare in NLP. In this paper we assess discrete and continuous scales used for measuring quality assessments of computergenerated language. We conducted six separate experiments designed to investigate the validity, reliability, stability, interchangeability and sensitivity of discrete vs. continuous scales. We show that continuous scales are viable for use in language evaluation, and offer distinct advantages over discrete scales. ...

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  • Lecture "Advanced Econometrics (Part II) - Chapter 3: Discrete choice analysis - Binary outcome models" presentation of content: Discrete choice model, basic types of discrete values, the probability models, estimation and inference in binary choice model, binary choice models for panel data.

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  • Using a recent idea of Gaudry and exploiting rational repre-sentations of algebraic tori, we present an index calculus type a lgorithm for solving the discrete logarithm problem that works directly in these groups.

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  • This volume brings about the contemporary results in the field of discrete-time systems. It covers papers written on the topics of robust control, nonlinear systems and recent applications. Although the technical views are different, they all geared towards focusing on the up-to-date knowledge gain by the researchers and providing effective developments along the systems and control arena. Each topic has a detailed discussions and suggestions for future perusal by interested investigators.

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  • Lecture Signal processing: The discrete fourier transform include all of the following content: Computational fourier analysis, the discrete fourier transform, sampling the discrete – time fourier transform, properties of the discrete fourier transform,... and another content.

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  • Lecture "Advanced Econometrics (Part II) - Chapter 4: Discrete choice analysis - Multinomial models" presentation of content: The multinomial logit model, conditional logit model, mixed logit mode, independence of irrelevant alternatives, nested logit model, multinomial probit model.

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  • This paper proposes methods for developing digital signature scheme based on the difficulty of the discrete logarithm problem. From the establishment of overview scheme, some digital signature schema have been proposed for practical applications.

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  • When you have completed this chapter, you will be able to: Define the terms probability distribution and random variable; distinguish between discrete and continuous random variables; calculate the mean, variance, and standard deviation of a discrete probability distribution; describe the characteristics and compute probabilities using the Poisson probability distribution.

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  • Chapter 10: Discrete cosine transform. This chapter presents the following content: Moving into the frequency domain, fourier transform, what do frequencies mean in an image? The road to compression, low pass image compression example, the discrete cosine transform,...

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  • Bài giảng Toán rời rạc (Discrete Mathematics) - Bài 1: Đại cương về đồ thị trình bày về đồ thị vô hướng, đồ thị có hướng, biểu diễn đồ thị, đồ thị Euler, Hamilton, đồ thị Hamilton và nửa Hamilton và một số nội dung khác.

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  • Bài giảng Toán rời rạc (Discrete Mathematics) - Bài 2: Xếp hạng đồ thị được biên soạn nhằm trang bị cho các bạn những kiến thức về sắp xếp tôpô (xếp hạng), giải thuật xếp hạng. Đặc biệt, với những bài tập được đưa ra ở cuối bài giảng sẽ giúp cho các bạn nắm bắt kiến thức một cách tốt hơn.

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  • Mời các bạn tham khảo Bài giảng Toán rời rạc (Discrete Mathematics) - Bài 3: Luồng cực đại sau đây để nắm bắt được những kiến thức về khái niệm mạng, tìm luồng cực đại trong mạng, thuật toán Ford-Fulkerson.

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  • Mời các bạn tham khảo Bài giảng Toán rời rạc (Discrete Mathematics) - Bài 4: Cơ sở logic sau đây sẽ giúp cho các bạn hiểu rõ hơn về phép tính mệnh đề & vị từ. Mời các bạn tham khảo bài giảng để bổ sung thêm kiến thức về lĩnh vực này.

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