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rqam
rectangular qam simulink
- 2009-05-08 23:00:26下载
- 积分：1
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wind.m
说明： 对含储能和风电的电力系统进行了可靠性评估，利用序贯蒙特卡洛法，把风储系统接入IEEE-RBTS系统来仿真，探讨了风电场、储能系统、储能容量和储能最大充放电功率对系统可靠性的具体影响。(This paper evaluates the reliability of the power system including energy storage and wind power. The sequential Monte Carlo method is used to connect the wind storage system to the ieee-rbts system for simulation. The specific effects of the wind farm, energy storage system, energy storage capacity and the maximum charge and discharge power of energy storage on the reliability of the system are discussed.)
- 2020-04-18 16:26:46下载
- 积分：1
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csphantomtest
An improved phantom for compressed sensing MRI reconstruction
- 2011-01-16 01:51:41下载
- 积分：1
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PDCO
A primal-dual interior method for solving linearly constrained optimization problems with a convex objective function
- 2011-07-24 02:12:18下载
- 积分：1
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MATLAB6signal_process_andtoolbox
说明： 第一章:MATLAB6 简介
第二章:离散信号及其MATLAB实现
第三章:离散系统及其MATLAB实现
第四章:信号变换及其MATLAB实现
第五章:离散系统的结构及其MATLAB实现
第六.七.八章:基于MATLAB的IIR DF.FIR DF 设计 功率谱估计(Chapter I: MATLAB6 Introduction Chapter II: MATLAB realization of discrete signal and its Chapter III: discrete-time systems and its achievement of Chapter IV of MATLAB: MATLAB realization of the signal transform and its chapter V: the structure of discrete-time systems and its achievement of sixth MATLAB. 7 . VIII: MATLAB-Based Design of IIR DF.FIR DF power spectrum estimation)
- 2008-10-30 15:19:49下载
- 积分：1
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Estimation-
Estimation with Applications to Tracking and Navigation 源码(Estimation with Applications to Tracking and Navigation Source)
- 2011-05-03 10:17:23下载
- 积分：1
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C++Primer3rdEdition
c++priemer第三版，中文完美翻译，超好，希望对大家有用(c++ priemer third edition, Chinese perfect translation, super good, I hope useful for everyone)
- 2007-08-30 08:31:48下载
- 积分：1
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FastDecoupledLoadFlow
Here, an implementation of Fast Decoupled Load flow is matlab platform is done. This is used for Load flow studies (Electrical).
- 2009-06-16 16:35:43下载
- 积分：1
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multisvm
Multi SVM Classifier Matlab Code
- 2013-01-09 14:57:02下载
- 积分：1
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基于PCA的SVM分类
选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分：1
