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.
标签： Nonlinear_Distortion_in_Wireless_ Systems
上传时间： 2020-05-31
上传用户：shancjb
Before delving into the details of orthogonal frequency division multiplexing (OFDM), relevant background material must be presented first. The purpose of this chapter is to provide the necessary building blocks for the development of OFDM principles. Included in this chapter are reviews of stochastic and random process, discrete-time signals and systems, and the Discrete Fourier Transform (DFT). Tooled with the necessary mathematical foundation, we proceed with an overview of digital communication systems and OFDM communication systems. We conclude the chapter with summaries of the OFDM wireless LAN standards currently in existence and a high-level comparison of single carrier systems versus OFDM.
上传时间： 2020-05-31
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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.
标签： Stochastic Geometry Networks Wireless Volume and
上传时间： 2020-06-01
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General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradient boosting, random forest and support vector machines that are able to accurately model nonlinear decision boundaries. Hence, solving a computer vision problem mainly depends on the feature extraction algorithm
标签： Convolutional Networks Neural Guide to
上传时间： 2020-06-10
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上传时间： 2021-10-22
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PW2330 develops a high efficiency synchronous step down DC-DC converter capable of delivering3A output current. PW2330 operates over a wide input voltage range from 4.5V to 30V andintegrates main switch and synchronous switch with very low RDS(ON) to minimize the conductionloss. PW2330 adopts the proprietary instant PWM architecture to achieve fast transient responsesfor high step down applications and high efficiency at light loads. In addition, it operates atpseudo-constant frequency of 500kHz under continuous conduction mode to minimize the size ofinductor and capacitor
标签： pw2330
上传时间： 2022-02-11
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PW2205 develops a high efficiency synchronous step-down DC-DC converter capable of delivering5A output current. PW2205 operates over a wide input voltage range from 4.5V to 30V andintegrates main switch and synchronous switch with very low RDS(ON) to minimize the conductionloss.PW2205 adopts the instant PWM architecture to achieve fast transient responses for high step downapplications and high efficiency at light loads. In addition, it operates at pseudo-constant frequencyof 500kHz under continuous conduction mode to minimize the size of inductor and capacitor
标签： pw2205
上传时间： 2022-02-11
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MT2625 DatasheetVersion: 1.2Release date: 31 January 2018NB-IoT transceiver• Compliant with 3GPP R13/R14 NB-IoT standard• Supports DL 200kHz bandwidth/UL single tone and multi-tone• Supported RF bands: B1/B2/B3/B5/B8/B11/B12/B13/B17/B18/B19/B20/B21/B25/B26/B28/B31/B66/B70/B71• Supports PSM and eDRX modeMicrocontroller subsystem• ARM® Cortex®-M4 with FPU and MPU• 14 DMA channels• One RTC timer, one 64-bit and five 32-bit general purpose timers• Development support: SWD, JTAG• Crypto engineo AES 128, 192, 256 bitso DES, 3DESo MD5, SHA-1, 224, 256, 384, 512• True random number generator• JTAG password protection
标签： MT2625
上传时间： 2022-07-04
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实验二、Python 运算符、内置函数实验目的：1、熟练运用 Python 运算符。2、熟练运用 Python 内置函数。实验内容：1、编写程序，输入任意大的自然数，输出各位数字之和。2、编写程序，输入两个集合 setA 和 setB，分别输出它们的交集、并集和差集 setA-setB。3、编写程序，输入一个自然数，输出它的二进制、八进制、十六进制表示形式。实验三、使用蒙特·卡罗方法计算圆周率近似值实验目的：1、理解蒙特·卡罗方法原理。2、理解 for 循环本质与工作原理。3、了解 random 模块中常用函数。实验内容：蒙特·卡罗方法是一种通过概率来得到问题近似解的方法，在很多领域都有重要的应用，其中就包括圆周率近似值的计算问题。假设有一块边长为 2 的正方形木板，上面画一个单位圆，然后随意往木板上扔飞镖，落点坐标(x, y)必然在木板上（更多的时候是落在单位圆内），如果扔的次数足够多，那么落在单位圆内的次数除以总次数再乘以 4，这个数字会无限逼近圆周率的值。这就是蒙特·卡罗发明的用于计算圆周率近似值的方法，如图所示。
标签： python
上传时间： 2022-07-09
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