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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.

时间序列的贝叶斯突变检测算法MATLAB源码.rar

说明：  改进后的Pitch Synchronous Overlap Add方法，用于在不引起失真的情况下，改变语音的基频和时长(Improved Pitch Synchronous Overlap Add method, used in the case does not cause distortion, change of voice fundamental frequency and length of)

matlab做的可视化界面，实现滤波器的自己设计，功能和自带的fdatool差不多，可是代码更好懂一些。有需要的可以看一下(Matlab do visualization interface to achieve its own filter design, and built-in functions fdatool almost, but to better understand some code. Need to see what)

说明：  收集的powerdesigner的物理数据模型资料(PowerDesigner collected information on the physical data model)

说明：  利用lms算法实现自适应滤波器的matlab仿真(The use of LMS adaptive filter algorithm matlab simulation)

使用传输零点，综合低通原型滤波器的P，F，E函数，用以得到S参数(synthesis F P E functions to obtain S parameters by using transmission zeros)

mfdfa方法用于验证非线性时间序列的长程相关性和多重分形特性。(mfdfa method has been applied to nonlinear time series to verify the long-range correlation and multi-fractal characteristics.)

利用matlab进行维娜虑波得分析与处理(using Matlab for consideration Wei-na-in analysis and treatment)

MATLAB作业用，MATLAB实验用，MATLAB数字信号处理，信号与系统(MATLAB work with, MATLAB experiment, MATLAB Digital Signal Processing, Signals and Systems)