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file dlll very important for the file spike to run under matlab code and visual studio 10.

容积卡尔曼滤波算法，可运行，与卡尔曼滤波算法比较，效果更好。(Volume Kalman filter algorithm can be run, compared with the Kalman filter algorithm, the better.)

宽带信号的DOA估计算法，可以实现宽带信号的doa估计(doa estimation algorithm for wide signal )

平面波展开法计算二维能带结构，教FDTD快，资源占用少(Two-dimensional plane wave expansion method to calculate the energy band structures, the FDTD fast, low resource consumption)

this file is about beam forming with adaptive file

计算特征的constraint得分，用于特征筛选(Calculation feature constraint score for feature selection)

MIT--航空航天工程中的计算方法_有限元方法实例——涡轮叶片传热 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace Engineering in the finite element method calculation _ instance- turbine blade heat transfer MIT Open Course- Aerospace engineering calculation methods for this course in aviation and aerospace engineering in the calculation of the entry appears to learn. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)

MATLAB CODE FOR DIGITAL COMMUNICATION

实现均匀pcm编码的matlab函数，可以把波形转换为PCM编码(Matlab code for uniform pcm function can be converted to PCM encoded waveform)

对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔； 按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合； 根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。 (Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.)