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model 相关的电子技术资料,包括技术文档、应用笔记、电路设计、代码示例等,共 827 篇文章,持续更新中。

Machine learning

Machine learning is about designing algorithms that automatically extract<br /> valuable information from data. The emphasis here is on “automatic”, i.e.,<br /> machine learning is concerned about gen

Machine Learning and IoT

The present era of research and development is all about interdisciplinary studies<br /> attempting to better comprehend and model our understanding of this vast universe.<br /> The fields of biology

interpretable-machine-learning

Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers<br /> usually do not explain their predictions which is a barrier to the adoption of machine learning.<br /> This

Guide to Convolutional Neural Networks

General paradigm in solving a computer vision problem is to represent a raw image<br /> using a more informative vector called feature vector and train a classifier on top of<br /> feature vectors col

Embedded_Deep_Learning_-_Algorithms

Although state of the art in many typical machine learning tasks, deep learning<br /> algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount<br /> of required computations and huge

MultivariableControlSystems

This introductory chapter is devoted to reviewing the fundamental ideas of<br /> control from a multivariable point of view. In some cases, the mathematics<br /> and operations on systems (modelling,

Arduino+Workshop+A+Hands-On+Introduction

Have you ever looked at some gadget and wondered<br /> how it really worked? Maybe it was a remote control<br /> boat, the system that controls an elevator, a vending<br /> machine, or an electronic t

NIST Framework and Roadmap

Under the Energy Independence and Security Act of 2007 (EISA), the National Institute of<br /> Standards and Technology (NIST) was assigned “primary responsibility to coordinate<br /> development of a

Stochastic Geometry and Wireless Networks

A wireless communication network can be viewed as a collection of nodes, located in some domain, which<br /> can in turn be transmitters or receivers (depending on the network considered, nodes may be

Stochastic Geometry and Wireless Networks Volume I

Part I provides a compact survey on classical stochastic geometry models. The basic models defined<br /> in this part will be used and extended throughout the whole monograph, and in particular to SIN

Signal Processing for Telecommunications

This paper presents a Hidden Markov Model (HMM)-based speech<br /> enhancement method, aiming at reducing non-stationary noise from speech<br /> signals. The system is based on the assumption that the

Hybrid+Analog-Digital+Precoding

In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling<br /> and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implement

Fundamental Limits on a Class of Secure

Abstract—In the future communication applications, users<br /> may obtain their messages that have different importance levels<br /> distributively from several available sources, such as distributed<

model-change.

abaqus 关于生死单元的模型 学习用

灰色预测模型

灰色预测模型(Gray Forecast Model)是通过 少量的、不完全的信息,建立数学模型并做出预 测的一种预测方法.当我们应用运筹学的思想方法 解决实际问题,制定发展战略和政策、进行重大 问题的决策时,都必须对未来进行科学的预测. 预测是根据客观事物的过去和现在的发展规律, 借助于科学的方法对其未来的发展趋势和状况进 行描述和分析,并形成科学的假设和判断.

LibSVM

Libsvm is a simple, easy-to-use, and efficient software for SVM<br /> classification and regression. It solves C-SVM classification, nu-SVM<br /> classification, one-class-SVM, epsilon-SVM regression,

基于频率插值的4.0kbps 语音编码器的性能和设计(英文)

The 4.0 kbit/s speech codec described in this paper is based on a<br /> Frequency Domain Interpolative (FDI) coding technique, which<br /> belongs to the class of prototype waveform Interpolation (PWI

If you are a C++ programmer who desires a fuller understanding of what is going on "under the hood,"

If you are a C++ programmer who desires a fuller understanding of what is going on "under the hood," then Inside the C++ Object Model is for you! Inside the C++ Object Model focuses on the underlyi

Its a simulink model to comare BER and Symbol error rate

Its a simulink model to comare BER and Symbol error rate

Wireless multipath enviroment for Narrowband channel using Clarke s model

Wireless multipath enviroment for Narrowband channel using Clarke s model