simulink-car

程序mtlab中的代码-地震波反应谱与时程波相互转换(Interconversion between seismic response spectrum and time-history wave)

IMC-PID是利用内模控制原理来对PID参数进行计算，毕业设计有用，采用加权网络中节点强度和权重都是幂率分布的模型，加入重复控制，采用累计贡献率的方法，实现了对10个数字音的识别，借鉴了主成分分析算法（PCA），双向PCS控制仿真。( The IMC- PID is using the internal model control principle for PID parameters is calculated, Graduation useful Using weighted model nodes in the network strength and weight are power law distribution, Join repetitive control, The method of cumulative contribution rate To achieve the recognition of 10 digital sound, It draws on principal component analysis algorithm (PCA), Two-way PCS control simulation.)

本程序给出了ab滤波算法和Kalman滤波算法。 程序以叠加噪声的二维CV运动为例(包含轨迹突变情况)，分别运用了ab滤波算法和Kalman滤波算法 对运动轨迹进行了跟踪，并比较了滤波性能。(This program give the Kalman filter algorithm and ab filter algorithm. Program uses the two-dimensional noise superimposed exercise as an example CV (including locus mutation), respectively ab filtering algorithm using Kalman filtering algorithm and Exercise carried out on the track to track, and compare the performance of the filters.)

High accuracy optical flow using a theory for warping(The files optical_flow_brox.m and optical_flow_sand.m are the files you need to run. optical_flow_brox.m implements the traditional algorithm. Just replace the first lines where images are read, with your image, and start the process. optical_flow_sand.m implements a variant presented in CVPR 2006. Again just replace the lines "img1 = imread( ... )" and "img2 = imread( ... )" with your images and the rest is automatic. The variable num_levels controls the number of images in the laplacian pyramid to be constructed. Change it to suit your convenience.)

to determine cost using MATLAB

speech recognition for DSP

Simulates any 1D nearest-neighbour binary cellular automaton

Vertical Lines detection

liner system and control Kalman filter

model of 8-bit Pipeline ADC