MATLAB-SCIENTIC-COMPUTE

提供了matlab的GUI一些命令，并对GUI用法进行了详细的总结，富有注释(The matlab GUI command on GUI usage carried out a detailed summary of rich notes)

压缩感知里面的稀疏重建问题，在原来MP的算法的基础上，提出了分块的思想，即将原子库分块后，测试算法的性能。(Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.)

单机无穷大系统仿真。电压恒定，励磁稀疏改变(Machine infinite system simulation. Constant voltage excitation sparse change)

由于自校正控制器在实际中的广泛运用，其缺点日益明显，主要体现在变阶次、变时延和变参数的系统中，因此研制具有较强的鲁棒性的控制器在实际运用中非常有用。Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的缺点，具有较强的鲁棒性。(self-tuning controller in practice the widespread use of its increasingly obvious shortcomings, mainly reflected in the change of Order, Variable Delay and change parameters in the system, developed with the robustness of the controller in actual application is very useful. Clark and others put the GPC self-tuning controller is based on the parameters of a model predictive control algorithm, it uses time optimize performance indicators, combining literacy and self-correction mechanism, in order to overcome self-tuning control of the shortcomings, with strong robust.)

Project of my mtech partner computer store

voice recognition in matlab

it is used to dtect upper body

调用lorentz，生产lorent的吸引子图，即吸引子生成的主程序。(Attractor map production lorent )

模糊层次分析法的程序实现，score 三个表是别人的打分表，填进去 然后在matlab直接调用[S1,S2,S3] = Matrix() 然后再调用 C = firstFuzzy( S1, S2, S3 )这个就可以了 出来的就是打分表的所得的权重((1, S2, S3) = Matrix () and then call C = firstFuzzy (S1, S2, S3) This is the same as the other one of the scoring tables. It can be out of the scoring table is the weight of the income)

用matlab实现多幅图片的downsample 把图片变成低分辨率的小图片。(Using matlab implementation of the downsample pictures put into a low-resolution picture of the small picture.)