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Matlab-toolbox-book

于 2009-10-30 发布 文件大小:4365KB
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  matlab 工具箱应用,电子工业出版社,pdf文档(matlab toolbox application, Electronic Industry Publishing House, pdf document)

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    清浊音检测,方法为短时平均能量,自己编的matlab程序。希望有用(Qingzhuo tone detection, methods for short-term average energy, the matlab own procedures. Hope useful)
    2008-05-19 10:37:22下载
    积分:1
  • new_error_rate
    用matlab分析bPSK和qpsk的误码率,其中有psk信号的调制与解调(psk)
    2009-05-24 09:53:30下载
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  • Chebyshev-type-II
    设计一个低通切比雪夫Ⅱ型模拟滤波器切比雪夫II型模(Design of a low-pass Chebyshev type II filter,)
    2012-04-20 17:16:33下载
    积分:1
  • ieee754_32
    Converts a floating point value to IEEE 754 32 bit binary representation. Sign Bit: 1 Exp: 2 to 9 Frac: 10:32 Single-precision floating-point format is a computer number format that occupies 4 bytes (32 bits) in computer memory and represents a wide dynamic range of values by using a floating point. In IEEE 754-2008 the 32-bit base 2 format is officially referred to as binary32. It was called single in IEEE 754-1985. In older computers, other floating-point formats of 4 bytes were used. For example, the 32-bit floating point bit pattern 1 01111101 00101100000000000000000 is interpreted as the following: (− 1)1 × (1 + 0.34375) × 2(125–127) = -1.34375× 2− 2 = -0.3359375 ​
    2013-09-07 22:20:32下载
    积分:1
  • matlab
    自适应遗传算法matlab代码,主要用于配电网路故障后恢复的研究(Adaptive genetic algorithm matlab code, mainly for the distribution of network failure recovery)
    2013-05-29 21:20:25下载
    积分:1
  • beam3d
    % 空间弹性梁单元结构-静力分析 % 空间弹性梁单元结构-静力分析( Spatial elastic Liang the cellular construction- static analysis % space elastic Liang cellular construction- static analyzes )
    2006-06-16 01:43:05下载
    积分:1
  • getCore
    core point detection
    2015-04-09 21:46:21下载
    积分:1
  • synchronzingfractionalchaoticsystem
    分数阶统一混沌系统同步程序可实现分数阶混沌系统同步,对研究分数阶系统非常有用(synchronizing fractional unied chaotic system realize synchronzation fractional unied chaotic)
    2021-04-01 10:59:08下载
    积分:1
  • New-ARMA-model-
    运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的,且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确,与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算,此时分析结果的平均相对误差较小,仅为1.38 ,与优化前构建的ARMA模型相比,平均相对误差降低0.23个百分点,优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)
    2012-10-17 16:22:42下载
    积分:1
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    积分:1
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