convex_analysis_foundation

说明：  任意给定点坐标，可以拟合出B样条曲线，用Matlab写的，算法明确。(arbitrary coordinates to the spot, could fit the B-spline curves, using Matlab written in the algorithm clear.)

this code extract dense samples for human action recognition

使用mat2huff进行编码，进一步说明霍夫曼编码的压缩性能！显示其压缩比例，以及其图像的对比！(Encoded using mat2huff to further clarify the Huffman coding compression performance! Shows the compression ratio and the image contrast!)

— In ultra-wideband (UWB) indoor dense multi-path transmission environments, traditional coherent Rake receiver requires estimation of channel parameters. Moreover, in order to collect enough signal energy from dense multi-path components, the number of Rake fingers must be large enough. Consequently, the receiver structure is too complex to be implemented in practice.

this is a useful book for matlab base electromagnetics programming

simple model on solar photovoltaic

functions of a circular array

high automatic stabalization for hovering unmanned hellicopter

内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。(The contents of each chapter is relatively complete and independent it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few.)

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.