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GUI_Simulink
该实例主要功能：
1、演示了GUI界面的布局和效果；
2、演示了togglebutton、pushbutton对simulink模块参数的设置方法；
3、演示了Edit text 和slider的联合使用，及利用edit text 和slider 对simulink 参数的动态修改；
4、演示了simulink参数在GUI上的显示和更显；
5、语句进行了注释，为便于编译没用中文，大家凑或者看吧！(The main functions of examples: 1, presentation of the layout of the GUI interface and effectiveness 2, demonstrated togglebutton, pushbutton module to simulink Ways parameters 3, Edit text and to demonstrate the joint use of slider, and the use of the slider and edit text simulink dynamic parameters modified 4, demonstrated on simulink parameter GUI at the display and more 5, statement to the Notes, in order to facilitate the compiler no English, or U.S. Check it out together!)
- 2009-04-01 01:42:12下载
- 积分：1
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@fotf
分数阶级系统的操作函数，包括：nyquist,bode,feedback 等(fractional order transfer function tool)
- 2013-08-05 00:59:03下载
- 积分：1
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YRxH3Z3krCceAg
说明： LLC谐振变换器、软开关的控制策略算法，包括PWM、PFM等控制策略(LLC converter\soft switching control strategy algorithm.including control strategy of PWM\PFM)
- 2021-03-18 19:57:26下载
- 积分：1
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RELS
增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)
- 2012-12-28 16:00:24下载
- 积分：1
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ofdm
关于ofdm的基本原理的总结概括，框图和公式的总结和汇总(On ofdm summed up the fundamental principles, block diagram and a summary of the formula and summary)
- 2010-05-18 20:53:43下载
- 积分：1
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efficientLBP
efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset
- 2014-11-27 18:53:41下载
- 积分：1
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rotor_angle_response
二阶龙格-库塔法在电力系统暂态过程计算中的应用(Second-order Runge- Kutta method in power system transient calculation)
- 2015-03-27 00:23:03下载
- 积分：1
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高等应用数学问题的MATLAB求解
高等应用数学问题的MATLAB求解，参考书(MATLAB solution of higher applied Mathematics problem, reference book)
- 2017-07-11 21:38:53下载
- 积分：1
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fuipie_v70
最小二乘回归分析算法，D-S证据理论数据融合，从先验概率中采样，计算权重。( Least-squares regression analysis algorithm, D-S evidence theory data fusion, Sampling a priori probability, calculate the weight.)
- 2016-09-10 11:03:14下载
- 积分：1
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Elements.of.Information.Theory.Jul.2006
信息论基础，描述了香农定理，熵的概念以及计算方法(Elements.of.Information.Theory.Jul.2006)
- 2010-12-07 13:34:36下载
- 积分：1
