MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
標簽： computing lifetime wireless M-files
上傳時間： 2014-01-01
上傳用戶：lnnn30
The purpose of this booklet is to give you a quick introduction to VHDL. This is done by informally describing the facilities provided by the language, and using examples to illustrate them. This booklet does not fully describe every aspect of the language. For such fine details, you should consult the IEEE Standard VHDL Language Reference Manual. However, be warned: the standard is like a legal document,
標簽： introduction informally purpose booklet
上傳時間： 2017-07-24
上傳用戶：zhouchang199
Synopsys' widely-used design constraints format, known as SDC, describes the "design intent" and surrounding constraints for synthesis, clocking, timing, power, test and environmental and operating conditions. SDC has been in use and evolving for more than 20 years, making it the most popular and proven format for describing design constraints. Essentially all synthesized designs use SDC and numerous EDA companies have translators that can read and process SDC.
上傳時間： 2018-07-13
上傳用戶：yalsim
describing the relevant detection and estimation theory, this detailed guide provides the background knowledge needed to tackle the design of practical WLAN positioning systems. It sets out key system-level challenges and design considerations in increasing positioningaccuracyandreducingcomputationalcomplexity,examinesdesigntradeoffs, and presents experimental results.
標簽： Positioning Systems WLAN
上傳時間： 2020-06-01
上傳用戶：shancjb
In this chapter we give a quick overview of control theory, explaining why integral feedback control works, describing PID controllers, and summariz- ing some of the currently available techniques for PID controller design. This background will serve to motivate our results on PID control, pre- sented in the subsequent chapters.
標簽： Controllers Time-Delay Systems PID for
上傳時間： 2020-06-10
上傳用戶：shancjb
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.
標簽： Bishop-Pattern-Recognition-and-Ma chine-Learning
上傳時間： 2020-06-10
上傳用戶：shancjb
We’re living through exciting times. The landscape of what computers can do is changing by the week. Tasks that only a few years ago were thought to require higher cognition are getting solved by machines at near-superhuman levels of per- formance. Tasks such as describing a photographic image with a sentence in idiom- atic English, playing complex strategy game, and diagnosing a tumor from a radiological scan are all approachable now by a computer. Even more impressively, computers acquire the ability to solve such tasks through examples, rather than human-encoded of handcrafted rules.
標簽： Deep-Learning-with-PyTorch
上傳時間： 2020-06-10
上傳用戶：shancjb
本文主要介紹如何在Wado設計套件中進行時序約束，原文出自 xilinx中文社區。1 Timing Constraints in Vivado-UCF to xdcVivado軟件相比于sE的一大轉變就是約束文件，5E軟件支持的是UcF（User Constraints file，而 Vivado軟件轉換到了XDc（Xilinx Design Constraints）。XDC主要基于SDc（Synopsys Design Constraints）標準，另外集成了Xinx的一些約束標準可以說這一轉變是xinx向業界標準的靠攏。Altera從 TimeQuest開始就一直使用SDc標準，這一改變，相信對于很多工程師來說是好事，兩個平臺之間的轉換會更加容易些。首先看一下業界標準SDc的原文介紹：Synopsys widely-used design constraints format, known as sDc, describes the design intent"and surrounding constraints for synthesis, clocking, timing, power, test and environmental and operating conditions. sDc has been in use and evolving for more than 20 years, making it the most popular and proven format for describing design constraints. Essentially all synthesized designs use SDc and numerous EDa companies have translators that can read and process sDc
標簽： vivado
上傳時間： 2022-03-26
上傳用戶：
