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  • RS_latch using vhdl, When using static gates as building blocks, the most fundamental latch is the

    RS_latch using vhdl, When using static gates as building blocks, the most fundamental latch is the simple SR latch, where S and R stand for set and reset. It can be constructed from a pair of cross-coupled NOR (Not OR) logic gates. The stored bit is present on the Output marked Q. Normally, in storage mode, the S and R inputs are both low, and feedback maintains the Q and Q Outputs in a constant state, with Q the complement of Q. If S (Set) is pulsed high while R is held low, then the Q Output is forced high, and stays high when S returns to low similarly, if R (Reset) is pulsed high while S is held low, then the Q Output is forced low, and stays low when R returns to low.

    標簽: using fundamental the RS_latch

    上傳時間: 2017-07-30

    上傳用戶:努力努力再努力

  • Basicaly,a chatterbot is a computer program that when you provide it with some inputs in Natural Lan

    Basicaly,a chatterbot is a computer program that when you provide it with some inputs in Natural Language (English, French ...) responds with something meaningful in that same language. Which means that the strength of a chatterbot could be directly measured by the quality of the Output selected by the Bot in response to the user. By the previous description,we could deduce that a very basic chatterbot can be written in a few lines of code in a given specific programming language. Lets make our first chatterbot (notice that all the codes that will be used in this tutorial will be written in C++. Also, it is assumed that the reader is familiar wih the STL library)

    標簽: chatterbot Basicaly computer Natural

    上傳時間: 2017-07-30

    上傳用戶:小寶愛考拉

  • ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead

    ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each Output unit implements a weighted sum of hidden units’ Outputs.

    標簽: introduced literature Broomhead Function

    上傳時間: 2017-08-08

    上傳用戶:lingzhichao

  • To write data to the FIFO, present the data to be written and assert the write enable. At the next r

    To write data to the FIFO, present the data to be written and assert the write enable. At the next rising edge of the clock, the data will be written. For every rising edge of the clock that the write enable is asserted, a piece of data is written into the FIFO. If the FIFO has data in it, the value at the head of the FIFO is present on the FIFO data Output. To read data from the FIFO, assert the read enable. At the next rising edge of the clock, capture the data Output the FIFO will subsequently advance to the next piece of data stored in the FIFO.

    標簽: the write data present

    上傳時間: 2014-08-16

    上傳用戶:wab1981

  • Tic tac toe is (exactly what re your thinking) and it s the first game I made. Made it in one whole

    Tic tac toe is (exactly what re your thinking) and it s the first game I made. Made it in one whole day in Turbo C. It uses primitive graphics drawing and also demonstrates how to Output an image. Written in C, also uses a library I got from the net (included) for image Output.

    標簽: thinking exactly first whole

    上傳時間: 2017-08-13

    上傳用戶:xhz1993

  • 這是本人原創(chuàng)的

    這是本人原創(chuàng)的,包含了iptables各種功能實現(xiàn)的例子。有NAT轉(zhuǎn)換,對外發(fā)布服務器,特定端口的映射,filter表中FORWARD、INPUT、Output鏈規(guī)則制定的實現(xiàn)細則,并做了詳盡的注釋。配置命令中的每一條均在實際機器上做過測試,請放心參閱。

    標簽:

    上傳時間: 2017-08-17

    上傳用戶:小儒尼尼奧

  • The Open Radar Data Acquisition (ORDA) subsystem replaces the current WSR-88D Radar Data Acquisiti

    The Open Radar Data Acquisition (ORDA) subsystem replaces the current WSR-88D Radar Data Acquisition subsystem with improved receiver and signal processing hardware and with improved user interface, signal processing and diagnostics software. This paper will discuss the input data from the digital receiver, the ORDA signal processing, and the data Output from the ORDA hardware. Specifications of the ORDA digital receiver will be presented. The paper outlines the critical radar signal processing flow and provides analysis of new spectrum width computations and clutter filtering schemes used in the ORDA system. Where appropriate, ORDA performance enhancements, data quality improvements and reliability and maintenance improvements will be highlighted.

    標簽: Radar Data Acquisition Acquisiti

    上傳時間: 2017-08-25

    上傳用戶:leixinzhuo

  • Calculates if the brackets in a sentence are correctly close. Input consists, one per line, sentenc

    Calculates if the brackets in a sentence are correctly close. Input consists, one per line, sentences with brackets, and Output say YES if its correctly close, or NO int if its not saying where is the error. Input: ()[]<>(**) (*) (ASA Output: YES NO 2 NO 4

    標簽: Calculates correctly brackets consists

    上傳時間: 2013-12-13

    上傳用戶:aig85

  • Implementation of Edmonds Karp algorithm that calculates maxFlow of graph. Input: For each test c

    Implementation of Edmonds Karp algorithm that calculates maxFlow of graph. Input: For each test case, the first line contains the number of vertices (n) and the number of arcs (m). Then, there exist m lines, one for each arc (source vertex, ending vertex and arc weight, separated by a space). The nodes are numbered from 1 to n. The node 1 and node n should be in different sets. There are no more than 30 arcs and 15 nodes. The arc weights vary between 1 and 1 000 000. Output: The Output is a single line for each case, with the corresponding minimum size cut. Example: Input: 7 11 1 2 3 1 4 3 2 3 4 3 1 3 3 4 1 3 5 2 4 6 6 4 5 2 5 2 1 5 7 1 6 7 9 Output: 5

    標簽: Implementation calculates algorithm Edmonds

    上傳時間: 2014-01-04

    上傳用戶:kiklkook

  • KNN算法實現(xiàn)

    KNN算法實現(xiàn),初始化模糊成員等級 initialize fuzzy membership grades of sample Output for fuzzy KNN

    標簽: KNN 算法

    上傳時間: 2013-12-25

    上傳用戶:waizhang

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