NSGA3

通过16个接收水听器组成线列阵，分别给出各个阵元接收信号，可实现 时域、频域等信号到达角判别(A linear array composed of 16 receiving hydrophones can be used to distinguish the angle of arrival of signals.)

说明：  遗传算法具有强大的全局优化能力，并行计算的快速收敛性(Genetic algorithm has strong global optimization ability and fast convergence of parallel computing)

基于小波变换的信号奇异性检测和去噪的matlab例程(Based on the wavelet transform of the signal singularity detection and denoising matlab routines)

有关傅里叶展开式的程序，速度非常快，而且还有相关的实例说明。(About Fourier expansion program, very fast, but also related examples.)

鲁棒性好，性能优越，利用自然梯度算法，在MATLAB中求图像纹理特征。( Robustness, superior performance, Use of natural gradient algorithm, In the MATLAB image texture feature.)

利用matlab程式進行對灰階圖片的縮放,歪斜,平移等動作,另外提供指令版本。(Matlab program for the use of pairs of gray-scale image scaling, skew, translation etc, and also offers instruction version.)

时滞微分方程求解示例，他展示了如何用MATLAB数值工具箱来算系统的时间状态(DELAY DIFFERENTIAL EQUACTIONS EXAMPLES)

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!

matlab编程第二版。希望对大家有帮助。对初学者很好的入门材料(matlab programming second edition. I hope to be helpful. Introductory material for beginners good)

LBG code for VQ watermarking