0800229_Nitish(1)

基2 fft 的c++实现，改自matlab。(fft)

Welch法：Welch法对Bartlett法进行了两方面的修正：一是选择适当的窗函数w(n)，并在周期图计算前直接加进去，加窗的优点是无论什么样的窗函数均可使谱估计非负。二是在分段时,可使各段之间有重叠，这样会使方差减小。(Welch method: Welch method of Bartlett method amendments in two respects: First, select the appropriate window function w (n), and in the cycle before CALPHAD directly incorporated, plus the advantage of the window, no matter what kind of window function can be so spectral estimation of non-negative. Second, when in subparagraph can overlap between paragraphs, this would reduce the variance.)

Dynamic and steady state model of Dynamic and steady state model of Doubly fed induction generator back to back supply for wind energy power system using matlab

关于支持向量机和Doa估计的，讲的很详细，还有自己理解弄的代码(With regard to support vector machines and Doa estimation, and speak in great detail, as well as his own understanding, get the code)

基于matlab实现的自身运动估计仿真程序。通过对视频图像的分析，快速估计摄像机自身的运动状态。(Estimate based simulation program matlab realize their movement. Through the analysis of video images, the camera quickly estimate its state of motion.)

Model reference adaptive system (MRAS) based techniques are one of the best methods to estimate the rotor speed due to its performance and straightforward stability approach. These techniques use two different models (the reference model and the adjustable model) which have made the speed estimation a reliable scheme especially when the motor parameters are poorly known or having large variations.

说明 幅度为三角波的幅度调制信号在长度变化前后，信号的时间中心、频率最小、时宽和带宽的变化情况；(Description amplitude of the triangular wave amplitude modulated signal before and after the change in the length of time the center of the signal, the frequency of the minimum, and when the wide bandwidth changes )

说明：  Matlab 微分方程工具箱函数及常微分方程符号求解函数用法，并应用于实际问题的求解.(Matlab differential equation toolbox function and ordinary differential equation symbolic solving function are used in solving practical problems)

This is just a sample code

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.