learn_kalman

Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.

锯齿波和三角波的傅立叶分析MATLAB程序(Saw-tooth and triangular wave Fourier analysis of MATLAB programs)

gaussNaive and GaussMod source for text

稀疏低秩的动态MRI成像代码，基于CPU的matlab代码版本，有代码加速优化处理(k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties （CPU version: MATLAB codes）)

基于OMI的臭氧数据的2006-2015年月平均资料处理及汇编(2006-based OMI ozone data 2015 monthly average data processing and assembly)

Eigenvalues and their algebraic multiplicity.

说明：  本程序主要是对CSRZ-8DPSK进行调制，并仿真出时域图、相位图、相位差图以及频谱图。(The program mainly for CSRZ-8DPSK modulation and time domain simulation diagram, phase diagram, phase diagram and the frequency spectrum.)

是一个显著性检测的典型算法，能够清楚的得到显著图(It is a typical algorithm for saliency detection, which can clearly get saliency map.)

信号与系统中用matlab实现计算及simulink建模(Signals and Systems with MATLAB Computing and Simulink Modeling)

说明：  Estimating the positions of sensor nodes is a fundamental and crucial problem in ad hoc wireless sensor networks (WSNs). In this paper, an accurate node localization method for WSNs is devised based on the weighted least squares technique with the use of time-of-arrival measurements. Computer simulations are included to evaluate the performance of the proposed approach by comparing with the classical multidimensional scaling method and Cram´ er-Rao lower bound.