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Measure

  • 如何優(yōu)化ISM無(wú)線電頻率(RF)系統(tǒng)

    Abstract: With industrial/scientific/medical (ISM) band radio frequency (RF) products, often times users are new to the structure of Maxim's low pin-count transmitters andfully integrated superheterodyne receivers. This tutorial provides simple steps that can be taken to get the best performance out of these transmitters and receivers whileproviding techniques to Measure the overall capability of the design.

    標(biāo)簽: ISM RF 無(wú)線電頻率

    上傳時(shí)間: 2013-11-02

    上傳用戶(hù):yph853211

  • FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, imp

    FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure.

    標(biāo)簽: defuzzification fuzzification accommodates arithmetic

    上傳時(shí)間: 2013-12-30

    上傳用戶(hù):dongbaobao

  • This example program shows how to configure and use the A/D Converter of the following microcontroll

    This example program shows how to configure and use the A/D Converter of the following microcontroller: STMicroelectronics ST10F166 After configuring the A/D, the program reads the A/D result and outputs the converted value using the serial port. To run this program... Build the project (Project Menu, Build Target) Start the debugger (Debug Menu, Start/Stop Debug Session) View the Serial Window (View Menu, Serial Window #1) View the A/D converter peripheral (Peripheral Menu, A/D Converter) Run the program (Debug Menu, Go) A debug script (debug.ini) creates buttons that set different analog values in A/D channels. As the program runs, you will see the A/D input and output change. Other buttons create signals that generate sine wave or sawtooth patterns as analog inputs. µ Vision3 users may enable the built-in Logic Analyzer to view, Measure and compare these input signals graphically.

    標(biāo)簽: microcontroll Converter configure following

    上傳時(shí)間: 2014-12-01

    上傳用戶(hù):獨(dú)孤求源

  • 對(duì)比分類(lèi)器的測(cè)試數(shù)據(jù)和輸出結(jié)果

    對(duì)比分類(lèi)器的測(cè)試數(shù)據(jù)和輸出結(jié)果,給出Precsion,Recall和F-Measure

    標(biāo)簽: 對(duì)比 分類(lèi)器 測(cè)試數(shù)據(jù) 輸出

    上傳時(shí)間: 2013-12-20

    上傳用戶(hù):ljmwh2000

  • This program demonstrates operation of ADC0 in polled mode. The ADC0 is // configured to use writes

    This program demonstrates operation of ADC0 in polled mode. The ADC0 is // configured to use writes to AD0BUSY as its start of conversion source and // to Measure the output of the on-chip temperature sensor. The temperature // sensor output is converted to degrees Celsius and is transmitted out UART0

    標(biāo)簽: ADC0 demonstrates configured operation

    上傳時(shí)間: 2014-01-23

    上傳用戶(hù):wangyi39

  • This program demonstrates operation of ADC0 in polled mode. The ADC0 is // configured to use writes

    This program demonstrates operation of ADC0 in polled mode. The ADC0 is // configured to use writes to AD0BUSY as its start of conversion source and // to Measure the output of the on-chip temperature sensor. The temperature // sensor output is converted to degrees Celsius and is transmitted out UART0

    標(biāo)簽: ADC0 demonstrates configured operation

    上傳時(shí)間: 2014-08-18

    上傳用戶(hù):米卡

  • The problem of image registration subsumes a number of problems and techniques in multiframe image

    The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit Measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

    標(biāo)簽: image registration multiframe techniques

    上傳時(shí)間: 2016-01-20

    上傳用戶(hù):520

  • 這是一個(gè)遠(yuǎn)程溫度計(jì) MCU: AT89S52 溫度傳感器: DS18B20 晶振: 12MHz 使用串口連接,在PC端使用"超級(jí)終端"打開(kāi) 設(shè)置如下: 波特率: 4800 數(shù)據(jù)

    這是一個(gè)遠(yuǎn)程溫度計(jì) MCU: AT89S52 溫度傳感器: DS18B20 晶振: 12MHz 使用串口連接,在PC端使用"超級(jí)終端"打開(kāi) 設(shè)置如下: 波特率: 4800 數(shù)據(jù)位: 8 奇偶校驗(yàn): 無(wú) 停止位: 1 數(shù)據(jù)流控制: 無(wú) 電路圖見(jiàn)Thermometer-SCH.jpg 該程序的編寫(xiě)參照了Keil UV2自帶的便子 見(jiàn)EXAMPLES\Measure 使用終端交互方式 其實(shí),這不僅是一個(gè)測(cè)漫器, 它的時(shí)鐘也非常準(zhǔn)確.

    標(biāo)簽: 4800 MCU 18B 89S

    上傳時(shí)間: 2014-01-09

    上傳用戶(hù):410805624

  • 基于OFDM的無(wú)線寬帶系統(tǒng)仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator.

    基于OFDM的無(wú)線寬帶系統(tǒng)仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator. Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation. System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, Measure the actural SNR, and finds the corresponding error rate.

    標(biāo)簽: simulator i.e. system-level link-level

    上傳時(shí)間: 2016-03-15

    上傳用戶(hù):xsnjzljj

  • The task of clustering Web sessions is to group Web sessions based on similarity and consists of max

    The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity. The first and foremost question needed to be considered in clustering W b sessions is how to Measure the similarity between Web sessions.However.there are many shortcomings in traditiona1 Measurements.This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited web page.Yhen we give a new method to Measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e幣cient.

    標(biāo)簽: sessions clustering similarity Web

    上傳時(shí)間: 2014-01-11

    上傳用戶(hù):songrui

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