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Multiple-Output

  • im2dat.m is used to convert images to data which can be plotted using the standard MATLAB functions.

    im2dat.m is used to convert images to data which can be plotted using the standard MATLAB functions. This is very handy if you have plots on hardcopy and you want to convert them into data that MATLAB can use. The scanned image can be analysed by this function and the output will allow you to perform any calculation/manipulations that MATLAB can perform, e.g. curve fitting.

    標(biāo)簽: functions standard convert plotted

    上傳時間: 2014-12-07

    上傳用戶:gdgzhym

  • Its functions are: n order within (excluding n) At the same time, 3 and 7 can be integral to all nat

    Its functions are: n order within (excluding n) At the same time, 3 and 7 can be integral to all natural and a few of the square root of s, and function as a value to return, the final result s output to file out.dat China.

    標(biāo)簽: functions excluding integral within

    上傳時間: 2016-11-12

    上傳用戶:王者A

  • BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code

    BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously

    標(biāo)簽: package multi-label includes networks

    上傳時間: 2013-12-05

    上傳用戶:xsnjzljj

  • The ADC0803 family is a series of three CMOS 8-bit successive approximation A/D converters using a

    The ADC0803 family is a series of three CMOS 8-bit successive approximation A/D converters using a resistive ladder and capacitive array together with an auto-zero comparator. These converters are designed to operate with microprocessor-controlled buses using a minimum of external circuitry. The 3-State output data lines can be connected directly to the data bus.

    標(biāo)簽: approximation converters successive family

    上傳時間: 2016-11-20

    上傳用戶:libenshu01

  • This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood seque

    This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.

    標(biāo)簽: performance likelihood decision feedback

    上傳時間: 2013-11-25

    上傳用戶:1079836864

  • it is a simulation about ML synchronization algorithm in OFDM systems,you can slao see a function pi

    it is a simulation about ML synchronization algorithm in OFDM systems,you can slao see a function picture in its output,that s useful for a beginner

    標(biāo)簽: synchronization simulation algorithm function

    上傳時間: 2013-12-17

    上傳用戶:yulg

  • Problem A:放蘋果 Time Limit:1000MS Memory Limit:65536K Total Submit:1094 Accepted:441 Language:

    Problem A:放蘋果 Time Limit:1000MS Memory Limit:65536K Total Submit:1094 Accepted:441 Language: not limited Description 把M個同樣的蘋果放在N個同樣的盤子里,允許有的盤子空著不放,問共有多少種不同的分法?(用K表示)5,1,1和1,5,1 是同一種分法。 Input 第一行是測試數(shù)據(jù)的數(shù)目t(0 <= t <= 20)。以下每行均包含二個整數(shù)M和N,以空格分開。1<=M,N<=10。 Output 對輸入的每組數(shù)據(jù)M和N,用一行輸出相應(yīng)的K。 Sample Input 1 7 3 Sample Output 8

    標(biāo)簽: Limit Accepted Language Problem

    上傳時間: 2016-11-30

    上傳用戶:leixinzhuo

  • // chebysheve outlier detection // this function is used to detect the abnormal value among a set o

    // chebysheve outlier detection // this function is used to detect the abnormal value among a set of data // input: // delta: a set of data // flag: discribe which data is already known as outlier // p: restrict level // output: // double[] door : byyond which the data may be considered as a outlier // door[0]: the upperdoor // door[1]: the lowerdoor

    標(biāo)簽: chebysheve detection abnormal function

    上傳時間: 2013-11-30

    上傳用戶:13517191407

  • Flex chip implementation File: UP2FLEX JTAG jumper settings: down, down, up, up Input: Reset -

    Flex chip implementation File: UP2FLEX JTAG jumper settings: down, down, up, up Input: Reset - FLEX_PB1 Input n - FLEX_SW switches 1 to 8 Output: Countdown - two 7-segment LEDs. Done light - decimal point on Digit1. Operation: Setup the binary input n number. Press the Reset switch. See the countdown from n down to 0 on the 7-segment LEDs. Done light lit when program terminates.

    標(biāo)簽: down implementation settings UP2FLEX

    上傳時間: 2014-01-21

    上傳用戶:sclyutian

  • N位同學(xué)站成一排

    N位同學(xué)站成一排,音樂老師要請其中的(N-K)位同學(xué)出列,使得剩下的K位同學(xué)排成合唱隊形。 合唱隊形是指這樣的一種隊形:設(shè)K位同學(xué)從左到右依次編號為1,2…,K,他們的身高分別為T1,T2,…,TK, 則他們的身高滿足T1 < T2 < ...< Ti > Ti+1 > … > TK (1 <= i <= K)。 你的任務(wù)是,已知所有N位同學(xué)的身高,計算最少需要幾位同學(xué)出列,可以使得剩下的同學(xué)排成合唱隊形。 Input 輸入包含若干個測試用例。 對于每個測試用例,輸入第一行是一個整數(shù)N(2<=N<=100),表示同學(xué)的總數(shù)。第二行有N個整數(shù),用空格分隔,第i個整數(shù)Ti(130<=Ti<=230)是第i位同學(xué)的身高(厘米)。當(dāng)輸入同學(xué)總數(shù)N為0時表示輸入結(jié)束。 Output 對于每個測試案例,輸出包括一行,這一行只包含一個整數(shù),就是最少需要幾位同學(xué)出列。 Sample Input 8 186 186 150 200 160 130 197 220 3 150 130 140 0 Sample Output 4 1

    標(biāo)簽:

    上傳時間: 2016-12-06

    上傳用戶:jackgao

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