project3b

A viable particle swarm optimization to update algorithm, MATLAB code to run correctly simulation, ease of use

This another matlab code for PCA-LDA

子脉冲为高斯波形的13位巴克码信号的matlab仿真输出。(Sub-Gaussian pulse waveform 13 Barker code signal matlab simulation output.)

演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(MA eigenvalues ​ ​ demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters)

说明：  结合PCA的尺度不变特征变换(SIFT)算法源代码，可用于图像目标检测和识别(Combined with PCA scale invariant feature transform (SIFT) algorithm source code, can be used for image target detection and recognition)

Gepp algorithm. Developed By dr Kucinski from Warsaw Univeristy of technology.

在非理想情况下，在对经纬度实施更新的情况下，一直长度，求速度。(In the ideal case, the latitude and longitude of implementing the update situation, has length, and speed.)

Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.

matlab运行环境下可以用主成分分析对建模模型进行优化的程序(matlab runtime environment can be analyzed under the modeling procedures used to optimize the model main ingredient)

DMC仿真程序,用MATLAB写的，m文件，直接运行就行。(Dynamic Matrix Control)