steiner_m

基于Hammerstein模型对传感器进行建模，可以将其分解为非线性和线性环节，设计完非线性补偿器之后，带入到实验数据，验证补偿效果(Hammerstein model based on sensor modeling, can be decomposed into non-linear and linear aspects of the design after the End of the nonlinear compensator, into the experimental data to verify the compensation effect)

压缩采样中各种贪婪算法性能的matlab仿真比较，包括LS-MP，OMP，WMP，硬阈算法(Compression of various sampling greedy algorithm performance of matlab simulation comparison, including LS-MP, OMP, WMP, hard threshold algorithm )

分别用理论计算和计算机模拟计算，求连续掷两颗骰子，点数之和大于6且第一次掷出的点数大于第二次掷出点数的概率。(Were used to calculate the theoretical calculations and computer simulations, seeking continuous throwing two dice, and more than six points of the first throw and the number of points is greater than the probability of the second throw points.)

说明：  MATLAB语言精要及动态仿真工具SIMULINK(Essential MATLAB language and dynamic simulation tool SIMULINK)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

Two dimensional bilateral filtering for colour images

小波包分解重构后，求节点能量，matlab中运行很好(After the wavelet packet decomposition and reconstruction, the node energy is calculated, which runs well in matlab.)

Fundamental Capacity of MIMO Channels

HARQ_simulations_convolutional code

一种基于PN训练序列的OFDM时频同步的新算法。通过构造倒序结构的同步训练序列，获得了较好的定时性能。(PN training sequence based on the OFDM time-frequency synchronization of the new algorithm. By constructing a reverse structure synchronization training sequence, to obtain a better performance from time to time.)