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Capon
capon算法，实现波达方向估计，不需要提前估计信源数！角度分辨力较高！(the the capon algorithm, the DOA estimates that do not need to estimate the number of sources in advance! High angle resolution)
- 2012-04-24 20:24:17下载
- 积分：1
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Direct_Torque_Control_-Matrix_Converter_Drives
Direct Torque Control for Matrix Converter Drives
PMSM DTC Matrix Converter
- 2013-10-25 05:44:47下载
- 积分：1
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twoDomp
基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计(Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA)
- 2014-01-06 17:20:07下载
- 积分：1
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稀疏贝叶斯
基于稀疏贝叶斯学习的稀疏向量恢复算法，里面包含多个情景下的仿真程序和说明(Sparse vectors recovery based on SBL)
- 2021-03-01 17:09:34下载
- 积分：1
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RobotVSScontrol
单关节机器人滑模控制matlab源程序，非常好的给出了simulink主程序，对于研究变结构控制得学生很有用。(Sliding mode control for single-joint robot matlab source, very good simulink main program is given, the study of variable structure control students useful.)
- 2008-06-04 21:03:19下载
- 积分：1
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filter
设计巴特沃斯和切比雪夫滤波器，实现低通滤波，并计算滤波系数，给出效果图(Design a 20-order Butterworth filter, low-pass filter, and the filter coefficient calculation gives renderings)
- 2013-12-28 11:31:42下载
- 积分：1
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xunijilifa
虚拟激励法的实现，4自由度的随机振动问题，包含详细说明，对出学者有很好启示作用！(The realization of the virtual excitation method, 4 degrees of freedom random vibration problems, including details of the scholars have a good inspiration!)
- 2010-11-28 10:13:05下载
- 积分：1
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数字信号处理的上机实习报告！关于声音的采样！
说明： 健身球检验分类机MATLAB应用--音乐信号处理MATLAB应用--音乐信号处理(fitness test signal separation machines MATLAB applications-- music MATLAB signal processing applications-- music Signal Processing)
- 2006-01-08 14:56:00下载
- 积分：1
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Parameterized-modules-in-Erlang
Parameterized modules in Erlang
- 2015-02-12 14:34:10下载
- 积分：1
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P4-1
传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)
- 2014-02-08 09:18:38下载
- 积分：1
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