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MATLAB-for-maths
Matlab科学计算的源代码，非常全，所有的代码都自己亲手跑一边，保证你不会为工程数学问题发愁，赶紧行动吧(Matlab scientific computing source code, very full, all the code yourself running while the guarantee that you will not engineering mathematical problems to worry about, and quickly action)
- 2013-04-07 15:42:33下载
- 积分：1
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Two-dimensional-maximum-entropy
二维最大熵与交叉熵结合 Two dimensional maximum entropy and cross entropy based(Two dimensional maximum entropy and cross entropy based)
- 2015-04-16 21:48:28下载
- 积分：1
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异步电机无速度传感器矢量控制
基于模型参考自适应的异步电机无速度传感器矢量控制系统(Asynchronous motor speed sensorless vector control system based on model reference adaptive)
- 2020-12-15 11:49:14下载
- 积分：1
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design-of-LDPC-code-compiler
基于MATLAB的LDPC码编译设计，是ＬＤＰＣ的基础程序，适合初学者(MATLAB-based LDPC code compiler design is based LDPC program, suitable for beginners)
- 2011-04-20 09:56:38下载
- 积分：1
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fingerprint
基于matlab的指纹识别，自动识别指纹库中的指纹，使用简单正确率高。(Matlab based on fingerprint recognition, automated fingerprint identification fingerprint , simple to use correct rate.)
- 2021-03-18 13:59:20下载
- 积分：1
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Untitled2
用感知准则函数的方法求解以下数据的判决面，学习率为 ，画出每次迭代法向量的变化轨迹，并画出最终的判决曲线。
(The Perceptron criterion function method for solving the decision following data side, learning rate, draw vector for each iteration the trajectory, and draw the curve of the final decision.)
- 2010-06-04 17:32:47下载
- 积分：1
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MATLAB8_0
遗传算法的应用实践和本人的心得体会及各种实际例子的分析应用(遗传算法)
- 2009-10-22 22:53:47下载
- 积分：1
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16428
说明： 学习matlab的朋友，这是一个计算线性方程组的程序，略有改进，若有疑问不吝赐教(learning Matlab friends, which is a calculation of linear equations procedures, a slight improvement If in doubt wing)
- 2006-04-28 20:24:41下载
- 积分：1
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EKFUKF
ekf与UKF算法的MATLAB源代码,其中的例子是以stewart六自由度并联机构展开的。(The matlab codes about extended kalman filter and unscented kalman filter， and the demo is about 6 degree of freedom stewart parallel manipulator)
- 2013-05-09 14:27:50下载
- 积分：1
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hsmm
隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
