<bdo id="g8as2"></bdo> HISTOGRAM equalization using java
標(biāo)簽： equalization HISTOGRAM using java
上傳時(shí)間： 2017-09-14
上傳用戶(hù)：thesk123
HISTOGRAM, periodogram
標(biāo)簽： periodogram HISTOGRAM
上傳時(shí)間： 2014-01-20
上傳用戶(hù)：13160677563
附件下載proteus7.8破解版包含了Proteus中文入門(mén)教程在內(nèi) Proteus Pro 7.8 sp2 漢化破解版，該P(yáng)roteus 漢化破解版解決了7.2版本運(yùn)行10分鐘就自動(dòng)關(guān)閉的問(wèn)題，是目前最Protus中最高的版本。Proteus 不僅具有其它EDA工具軟件的仿真功能，還能仿真單片機(jī)及外圍器件，它是目前最好的仿真單片機(jī)及外圍器件的工具。從原理圖布圖、代碼調(diào)試到單片機(jī)與外圍電路協(xié)同仿真，一鍵切換到PCB設(shè)計(jì)，真正實(shí)現(xiàn)了從概念到產(chǎn)品的完整設(shè)計(jì)。 Proteus 是目前世界上唯一將電路仿真軟件、PCB設(shè)計(jì)軟件和虛擬模型仿真軟件三合一的設(shè)計(jì)平臺(tái)，其處理器模型支持8051、HC11、PIC10/12/16/18/24/30/DsPIC33、AVR、ARM、8086和MSP430等，Proteus為您建立完整的電子設(shè)計(jì)開(kāi)發(fā)環(huán)境。中文系統(tǒng)可用，不需修改 “非unicode程序的語(yǔ)言”設(shè)置，不用改區(qū)域語(yǔ)言設(shè)置，也不要安裝其他破解。 proteus7.8破解版安裝步驟： 先安裝P7.8sp2.exe，再運(yùn)行"Proteus Pro 7.8 SP2破解1.0.exe"破解，再漢化。這個(gè)漢化補(bǔ)丁用7.5的漢化修改而來(lái)，覆蓋前注意備份原文件，如果漢化報(bào)錯(cuò)，就將“漢化報(bào)錯(cuò).exe” 復(fù)制到安裝文件夾再運(yùn)行。 Proteus 不僅具有其它EDA工具軟件的仿真功能，還能仿真單片機(jī)及外圍器件，它是目前最好的仿真單片機(jī)及外圍器件的工具。從原理圖布圖、代碼調(diào)試到單片機(jī)與外圍電路協(xié)同仿真，一鍵切換到PCB設(shè)計(jì)，真正實(shí)現(xiàn)了從概念到產(chǎn)品的完整設(shè)計(jì)。 Proteus中文入門(mén)教程 Proteus ISIS是英國(guó)Labcenter公司開(kāi)發(fā)的電路分析與實(shí)物仿真軟件。它運(yùn)行于Windows操作系統(tǒng)上，可以仿真、分析(SPICE)各種模擬器件和集成電路，該軟件的特點(diǎn)是：①實(shí)現(xiàn)了單片機(jī)仿真和SPICE電路仿真相結(jié)合。具有模擬電路仿真、數(shù)字電路仿真、單片機(jī)及其外圍電路組成的系統(tǒng)的仿真、RS232動(dòng)態(tài)仿真、I2C調(diào)試器、SPI調(diào)試器、鍵盤(pán)和LCD系統(tǒng)仿真的功能；有各種虛擬儀器，如示波器、邏輯分析儀、信號(hào)發(fā)生器等。②支持主流單片機(jī)系統(tǒng)的仿真。目前支持的單片機(jī)類(lèi)型有：68000系列、8051系列、AVR系列、PIC12系列、PIC16系列、PIC18系列、Z80系列、HC11系列以及各種外圍芯片。③提供軟件調(diào)試功能。在硬件仿真系統(tǒng)中具有全速、單步、設(shè)置斷點(diǎn)等調(diào)試功能，同時(shí)可以觀察各個(gè)變量、寄存器等的當(dāng)前狀態(tài)，因此在該軟件仿真系統(tǒng)中，也必須具有這些功能；同時(shí)支持第三方的軟件編譯和調(diào)試環(huán)境，如Keil C51 uVision2等軟件。④具有強(qiáng)大的原理圖繪制功能?？傊撥浖且豢罴瘑纹瑱C(jī)和SPICE分析于一身的仿真軟件，功能極其強(qiáng)大。本章介紹Proteus ISIS軟件的工作環(huán)境和一些基本操作。 Proteus中文入門(mén)教程目 錄 第一章 概述 2 一、進(jìn)入Proteus ISIS 2 二、工作界面 3 三、基本操作 3 圖形編輯窗口 3 預(yù)覽窗口（The Overview Window） 4 對(duì)象選擇器窗口 5 圖形編輯的基本操作 5 參考1 10 參考2作原理圖仿真調(diào)試 12 四、實(shí)例一 16 電路圖的繪制 17 KeilC與Proteus連接調(diào)試 26 五、實(shí)例二 30 使用元件工具箱 30 使用狀態(tài)信息條 30 使用對(duì)話(huà)框 30 使用仿真信息窗口 30 關(guān)閉Proteus ISIS 30 四、菜單命令簡(jiǎn)述 31 主窗口菜單 31 表格輸出窗口(Table)菜單 33 方格輸出窗口(Grid)菜單 33 Smith圓圖輸出窗口(Smith)菜單 33 直方圖輸出窗口(HISTOGRAM)菜單 33 第二章 基于51的PID爐溫度調(diào)節(jié)器的硬件設(shè)計(jì)及仿真 34
標(biāo)簽： proteus Proteus 7.8 破解版
上傳時(shí)間： 2013-11-20
上傳用戶(hù)：tangsiyun
Proteus中文入門(mén)基礎(chǔ)教程 目 錄 第一章 概述... 2 一、進(jìn)入Proteus ISIS. 2 二、工作界面... 3 三、基本操作... 3 圖形編輯窗口... 3 預(yù)覽窗口（The Overview Window）... 4 對(duì)象選擇器窗口... 5 圖形編輯的基本操作... 5 參考1. 10 參考2作原理圖仿真調(diào)試... 12 四、實(shí)例一... 16 電路圖的繪制... 17 KeilC與Proteus連接調(diào)試... 26 五、實(shí)例二... 30 使用元件工具箱... 30 使用狀態(tài)信息條... 30 使用對(duì)話(huà)框... 30 使用仿真信息窗口... 30 關(guān)閉Proteus ISIS. 30 四、菜單命令簡(jiǎn)述... 31 主窗口菜單... 31 表格輸出窗口(Table)菜單... 33 方格輸出窗口(Grid)菜單... 33 Smith圓圖輸出窗口(Smith)菜單... 33 直方圖輸出窗口(HISTOGRAM)菜單... 33 第二章 基于51的PID爐溫度調(diào)節(jié)器的硬件設(shè)計(jì)及仿真（未完成）... 34
上傳時(shí)間： 2013-10-31
上傳用戶(hù)：hanli8870
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster HISTOGRAM, we develop a novel algorithm – CLOPE, which is very fast and scalable, while being quite effective. We demonstrate the performance of our algorithm on two real world
標(biāo)簽： data transactional categorical clustering
上傳時(shí)間： 2015-10-24
上傳用戶(hù)：evil
模式識(shí)別學(xué)習(xí)綜述.該論文的英文參考文獻(xiàn)為303篇.很有可讀價(jià)值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and HISTOGRAM methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.
標(biāo)簽： statistical Classical Abstract pattern
上傳時(shí)間： 2013-11-25
上傳用戶(hù)：www240697738
北京大學(xué)ACM比賽題目 Write a program to read four lines of upper case (i.e., all CAPITAL LETTERS) text input (no more than 72 characters per line) from the input file and print a vertical HISTOGRAM that shows how many times each letter (but not blanks, digits, or punctuation) appears in the all-upper-case input. Format your output exactly as shown.
標(biāo)簽： CAPITAL LETTERS program Write
上傳時(shí)間： 2014-01-17
上傳用戶(hù)：410805624
自己編寫(xiě)的一個(gè)簡(jiǎn)單的matlab程序，實(shí)現(xiàn)圖像直方圖的均衡化及規(guī)定化處理.image HISTOGRAM equalization,HISTOGRAM matching(specification).
上傳時(shí)間： 2014-11-11
上傳用戶(hù)：klin3139
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint HISTOGRAM of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
標(biāo)簽： present modalities existence different
上傳時(shí)間： 2017-04-03
上傳用戶(hù)：qunquan
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint HISTOGRAM of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
標(biāo)簽： present modalities existence different
上傳時(shí)間： 2014-03-04
上傳用戶(hù)：15736969615
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1
<pre id="6cskq"></pre>