aptintechquestionswitsolutn

通过自适应算法来预测将来的变化。是通过matlab来实现的。已经调试完成(Through the adaptive algorithm to predict the future changes. Are achieved through matlab. Have been debug finish)

利用matlab对一些光学实验进行仿真使实验结果更加清晰明了(Some optical experiments using matlab simulation experimental results more clarity)

广义预测控制的matlab程序编写 现在预测控制的瓶颈是模型的建立和优化方法的选择. 模型要足够精确,对于非线性系统的建模,现在没有一套统一高效的方法. (Generalized Predictive Control of matlab programming bottleneck now is the predictive control model and the choice of optimization method. Model should be sufficiently accurate for modeling nonlinear systems, there is no efficient way to a unified set.)

P_FUZZY_PID飞行器大角度机动控制物理仿真(Control of Spacecraft Large Angle Maneuvers P_FUZZY_PID Physical Simulation)

利用matlab实现图像的拼接，经过验证时可用的，可以作为图像处理简单图像拼接的应用(Using matlab to achieve image stitching, proven when available, can be used as a simple image mosaic image processing application)

相关分析过程的matlab方法，采用累计贡献率的方法，混沌的判断指标Lyapunov指数计算。( Correlation analysis process matlab method, The method of cumulative contribution rate Chaos indicator for Lyapunov index calculation.)

一种有效地能量叠加方法，应用在matlab环境下，对地震信号处理十分有效( kind of effective energy superposition method, the application in the matlab environment, the seismic signal processing is very effective )

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

2dpca的matlab源代码,很好用的一个算法，大家可以来试试啊(2dpca the matlab source code, good use of an algorithm, we can to try ah)

computation TEC for ARECIBO cc to drew L