Fisher

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

癫痫脑电数据的小波分解，对数据进行离散小波变换(Epileptic EEG data decomposition, discrete wavelet transform on the data)

frequency shift keying simulation in matlab

SRM dynamic simulation of srm.

三个空间错开漩涡光束左旋螺旋形焦点在YZ平面的强度分布计算程序(YZ distribution of left handed spiral focal spot)

使用高斯列主元法和QR方法求解方程组，使用matlab编程.(Gaussian and QR column main element method for solving equations.)

satellite orbit visualization

matlab source for GGD

LDPC译码算法，没有采用LOG方法，MATLAB语言实现仿真(LDPC decoding algorithm, without the use of LOG methods, MATLAB simulation)

tracking1 is used to track a man in video