特点(FEATURES) 精确度0.1%满刻度 (Accuracy 0.1%F.S.) 可作各式数学演算式功能如:A+B/A-B/AxB/A/B/A&B(Hi or Lo)/|A| (Math functioA+B/A-B/AxB/A/B/A&B(Hi&Lo)/|A|/etc.....) 16 BIT 类比输出功能(16 bit DAC isolating analog output function) 输入/输出1/输出2绝缘耐压2仟伏特/1分钟(Dielectric strength 2KVac/1min. (input/output1/output2/power)) 宽范围交直流两用电源设计(Wide input range for auxiliary power) 尺寸小,稳定性高(Dimension small and High stability)
上传时间： 2013-11-24
上传用户：541657925
The LPC2292/2294 microcontrollers are based on a 16/32-bit ARM7TDMI-S CPU with real-time emulation and embedded trace support, together with 256 kB of embedded high-speed flash memory. A 128-bit wide memory interface and a unique accelerator architecture enable 32-bit code execution at the maximum clock rate. For critical code size applications, the alternative 16-bit Thumb mode reduces code by more than 30 pct with minimal performance penalty. With their 144-pin package, low power consumption, various 32-bit timers, 8-channel 10-bit ADC, 2/4 (LPC2294) advanced CAN channels, PWM channels and up to nine external interrupt pins these microcontrollers are particularly suitable for automotive and industrial control applications as well as medical systems and fault-tolerant maintenance buses. The number of available fast GPIOs ranges from 76 (with external memory) through 112 (single-chip). With a wide range of additional serial communications interfaces, they are also suited for communication gateways and protocol converters as well as many other general-purpose applications. Remark: Throughout the data sheet, the term LPC2292/2294 will apply to devices with and without the /00 or /01 suffix. The suffixes /00 and /01 will be used to differentiate from other devices only when necessary.
上传时间： 2014-12-30
上传用户：aysyzxzm
多维多选择背包问题(MMKP)是0-1背包问题的延伸，背包核已经被用来设计解决背包问题的高效算法。目的是研究如何获得一种背包核，并以此高效处理多维多选择背包问题。首先给出了一种方法确定MMKP的核，然后阐述了利用核精确解决MMKP问题的B&B算法，列出了具体的算法步骤。在分析了算法的存储复杂度后，将算法在各种实例上的运行效果与目前解决MMKP问题的常用算法的运行效果进行了比较，发现本文的算法性能优于以往任何算法。
上传时间： 2013-11-20
上传用户：wangw7689
A. 产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2；B. 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50%，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列）；C. 改用HDB3码，画出前20个符号对应的波形；D. 改用密勒码，画出前20个符号对应的波形；E. 分别对上述1000个符号的波形进行功率谱估计，画出功率谱；F. 改变信源“0”的概率，观察AMI码的功率谱变化情况；
上传时间： 2015-03-16
上传用户：Altman
RSA算法 :首先, 找出三个数, p, q, r, 其中 p, q 是两个相异的质数, r 是与 (p-1)(q-1) 互质的数...... p, q, r 这三个数便是 person_key，接著, 找出 m, 使得 r^m == 1 mod (p-1)(q-1)..... 这个 m 一定存在, 因为 r 与 (p-1)(q-1) 互质, 用辗转相除法就可以得到了..... 再来, 计算 n = pq....... m, n 这两个数便是 public_key ，编码过程是, 若资料为 a, 将其看成是一个大整数, 假设 a < n.... 如果 a >= n 的话, 就将 a 表成 s 进位 (s
标签： person_key RSA 算法
上传时间： 2013-12-14
上传用户：zhuyibin
用verilog设计密勒解码器 一、题目： 设计一个密勒解码器电路 二、输入信号： 1． DIN：输入数据 2． CLK：频率为2MHz的方波，占空比为50％ 3． RESET：复位信号，低有效 三、输入信号说明： 输入数据为串行改进密勒码，每个码元持续时间为8μs，即16个CLK时钟；数据流是由A、B、C三种信号组成； A：前8个时钟保持“1”，接着5个时钟变为“0”，最后3个时钟为“1”。 B：在整个码元持续时间内都没有出现“0”，即连续16个时钟保持“1”。 C：前5个时钟保持“0”，后面11个时钟保持“1”。 改进密勒码编码规则如下： 如果码元为逻辑“1”，用A信号表示。 如果码元为逻辑“0”，用B信号表示，但以下两种特例除外：如果出现两个以上连“0”，则从第二个“0”起用C信号表示；如果在“通信起始位”之后第一位就是“0”，则用C信号表示，以下类推； “通信起始位”，用C信号表示； “通信结束位”，用“0”及紧随其后的B信号表示。 “无数据”，用连续的B信号表示。
上传时间： 2013-12-02
上传用户：wang0123456789
We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.
标签： represented integers group items
上传时间： 2016-01-17
上传用户：jeffery
功能:编写的计算皮亚诺相关系数 开发语言:ruby 调用:correlate(x,y) 其中,x,y为需要计算相关度的向量 调用示例: a = [3, 6, 9, 12, 15, 18, 21] b = [1.1, 2.1, 3.4, 4.8, 5.6] c = [1.9, 1.0, 3.9, 3.1, 6.9] c1 = correlate(a,a) # 1.0 c2 = correlate(a,a.reverse) # -1.0 c3 = correlate(b,c) # 0.8221970228 puts c1#,c2,c3
上传时间： 2013-12-18
上传用户：skfreeman
Implement the following integer methods: a) Method celsius returns the Celsius equivalent of a Fahrenheit calculation celsius = 5.0 / 9.0 * ( fahrenheit - 32 ) b) Method fahrenheit returns the Fahrenheit equivalent of a Celsius the calculation fahrenheit = 9.0 / 5.0 * celsius + 32 c) Use the methods from parts (a) and (b) to write an application either to enter a Fahrenheit temperature and display the Celsius or to enter a Celsius temperature and display the Fahrenheit equivalent.
标签： equivalent Implement the following
上传时间： 2014-01-19
上传用户：jackgao
CRC16算法的Java实现，使用方法如下： CRC16 crc16 = new CRC16() byte[] b = new byte[] { // (byte) 0xF0,(byte)0xF0,(byte)0xF0,(byte)0x72 (byte) 0x2C, (byte) 0x00, (byte) 0xFF, (byte) 0xFE, (byte) 0xFE, (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00 } for (int k = 0 k < b.length k++) { crc16.update(b[k]) } System.out.println(Integer.toHexString(crc16.getValue())) System.out.println(Integer.toHexString(b.length))
上传时间： 2014-12-20
上传用户：ve3344
