很好用的稀疏压缩感知算法代码

Code source Of Automated Fingerprint Identification System

matlab的nmf工具箱，很有用。希望大家下载拥有。(nmf the matlab toolbox, useful. Hope you have downloaded.)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

yulewalker正则方程的功率谱估计(The yulewalker method for PSD)

运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。(A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize customer satisfaction, using the improved genetic algorithm with fuzzy time window cold chain distribution.)

this is good code source for the main task in antenna study that is the optimization

MIMO-OFDM implementation in Matlab

root finding by incremental search

cdma using matlab for engineering student

With a larger step size, the ERLE performance is not as good due to the misadjustment introduced by the near-end speech. To deal with this performance difficulty, acoustic echo cancellers include a detection scheme to tell when nearend speech is present and lower the step size value over these periods.