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.
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
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.
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 – do not vary smoothly in this way, but have distinct, separated values.
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.
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...
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. ...
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.
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.
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.
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.
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.
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,...
This authoritative book, highly regarded for its intellectual quality and contributions provides a solid foundation and life-long reference for anyone studying the most important methods of modern signal and system analysis. The major changes of the revision are reorganization of chapter material and the addition of a much wider range of difficulties.
Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications.
Discrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and image processing in several areas in research and industry. As DWT provides both frequency and location information of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Theory and Applications describes the latest progress in DWT analysis in non-stationary signal processing, multi-scale image enhancement as well as in biomedical and industrial applications....
Considered by many authors as a technique for modelling stochastic, dynamic and discretely evolving systems, this technique has gained widespread acceptance among the practitioners who want to represent and improve complex systems. Since DES is a technique applied in incredibly different areas, this book reflects many different points of view about DES, thus, all authors describe how it is understood and applied within their context of work, providing an extensive understanding of what DES is.