關(guān)于stockwell transform的學(xué)位論文
上傳時(shí)間： 2017-06-10
上傳用戶：yyy344
滑模預(yù)測(cè)控制的一片很好的文獻(xiàn)，內(nèi)容詳細(xì)，對(duì)學(xué)習(xí)滑模預(yù)測(cè)控制的很有幫助。
標(biāo)簽： Predictive Discrete Control Sliding Mode
上傳時(shí)間： 2017-08-05
上傳用戶：zhangyu97284
AMPLIFIER.OLB ARITHMETIC.OLB ATOD.OLB BUS DRIVERTRANSCEIVER.OLB CAPSYM.OLB CONNECTOR.OLB COUNTER.OLB DISCRETE.OLB 等
標(biāo)簽： Capture List 元件庫(kù)
上傳時(shí)間： 2020-03-03
上傳用戶：llik
Modeling and simulation of nonlinear systems provide communication system designers with a tool to predict and verify overall system performance under nonlinearity and complex communication signals. Traditionally, RF system designers use deterministic signals (discrete tones), which can be implemented in circuit simulators, to predict the performance of their nonlinear circuits/systems. However, RF system designers are usually faced with the problem of predicting system performance when the input to the system is real-world communication signals which have a random nature.
標(biāo)簽： Nonlinear_Distortion_in_Wireless_ Systems
上傳時(shí)間： 2020-05-31
上傳用戶：shancjb
Many good textbooks exist on probability and random processes written at the under- graduate level to the research level. However, there is no one handy and ready book that explains most of the essential topics, such as random variables and most of their frequently used discrete and continuous probability distribution functions; moments, transformation, and convergences of random variables; characteristic and generating functions; estimation theory and the associated orthogonality principle; vector random variables; random processes and their autocovariance and cross-covariance functions; sta- tionarity concepts; and random processes through linear systems and the associated Wiener and Kalman filters.
標(biāo)簽： Probability Processes Random and
上傳時(shí)間： 2020-05-31
上傳用戶：shancjb
Part I provides a compact survey on classical stochastic geometry models. The basic models defined in this part will be used and extended throughout the whole monograph, and in particular to SINR based models. Note however that these classical stochastic models can be used in a variety of contexts which go far beyond the modeling of wireless networks. Chapter 1 reviews the definition and basic properties of Poisson point processes in Euclidean space. We review key operations on Poisson point processes (thinning, superposition, displacement) as well as key formulas like Campbell’s formula. Chapter 2 is focused on properties of the spatial shot-noise process: its continuity properties, its Laplace transform, its moments etc. Both additive and max shot-noise processes are studied. Chapter 3 bears on coverage processes, and in particular on the Boolean model. Its basic coverage characteristics are reviewed. We also give a brief account of its percolation properties. Chapter 4 studies random tessellations; the main focus is on Poisson–Voronoi tessellations and cells. We also discuss various random objects associated with bivariate point processes such as the set of points of the first point process that fall in a Voronoi cell w.r.t. the second point process.
標(biāo)簽： Stochastic Geometry Networks Wireless Volume and
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
I love telecommunications. It is powerful and it empowers, with far-reaching consequences. It has demonstrated the potential to transform society and business, and the revolution has only just begun. With the invention of the telephone, human communications and commerce were forever changed: Time and distance began to melt away as a barrier to doing business, keeping in touch with loved ones, and being able to immediately respond to major world events. Through the use of computers and telecommunications networks, humans have been able to extend their powers of thinking, influence, and productivity, just as those in the Industrial Age were able to extend the power of their muscles, or physical self, through use of heavy machinery.
標(biāo)簽： Telecommunications Essentials
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
With all the recent hype over radio frequency identification (RFID) and the requirements to implement it, you might think that RFID can turn water into wine, transform lead into gold, and cure the world’s diseases. You might also be worried that RFID will enable Big Brother to track your move- ments to within a foot of your location from a satellite five hundred miles up in space. The truth is, RFID can do none of these things. In this chapter, you find out the basics of what RFID is, what forces are dri- ving RFID as a replacement for the bar code in the marketplace, and what benefits RFID can offer
標(biāo)簽： ForDummies_RFID_For_Dummies
上傳時(shí)間： 2020-06-08
上傳用戶：shancjb
There exist two essentially different approaches to the study of dynamical systems, based on the following distinction: time-continuous nonlinear differential equations ? time-discrete maps One approach starts from time-continuous differential equations and leads to time-discrete maps, which are obtained from them by a suitable discretization of time. This path is pursued, e.g., in the book by Strogatz [Str94]. 1 The other approach starts from the study of time-discrete maps and then gradually builds up to time-continuous differential equations, see, e.g., [Ott93, All97, Dev89, Has03, Rob95]. After a short motivation in terms of nonlinear differential equations, for the rest of this course we shall follow the latter route to dynamical systems theory. This allows a generally more simple way of introducing the important concepts, which can usually be carried over to a more complex and physically realistic context.
標(biāo)簽： Systems_Rainer Introduction Dynamical Klages to
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
Signals convey information. Systems transform signals. This book introduces the mathe- matical models used to design and understand both. It is intended for students interested in developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and to enhance human experience and communi- cation.
標(biāo)簽： Interpretation Structure and Signals Systems of
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
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