rakePDi

智能天线算法中的非盲算法中的最小二乘法算法，运行后直接出来结果(Algorithm of smart antenna algorithms in the non-blind least squares algorithm, to run directly from the results of)

stress around the plate with hold

Mobile Robot Model + Code + Docs in Matlab

产生固定持续时间的正弦脉冲，先给出要产生的脉冲信号的特征参数(Have a fixed duration of the sinusoidal pulse, is given to the first pulse signal generated by the characteristic parameters)

视觉注意力重要文献，基于该文献Dirk Walthera等人编制了可以在MATLAB环境下运行的图像显著区提取工具(Modeling attention to salient proto-objects)

在自适应波束形成算法中，使用阻塞矩阵法抑制主瓣干扰(In adaptive beamforming algorithm, using blocking matrix interference suppression in the main lobe)

Adaptive Gradient-Based Methods for Adaptive Power Allocation in OFDM-Based Cognitive Radio Networks. IT IS THE RECENT PAPER IN COGNITIVE RADIO NETWORKS

这是一个非常好的关于kit的matlab工具箱。(This is a matlab toolbox of kit.)

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.

利用matlab编写的根据连续分离变量方法设计的优化程序包(Using matlab to prepare the basis for a continuous optimization of separation of variables designed package)