stark-Energy

说明：  Matlab code advanced DSP lab

xc164中文手册，详细的介绍了xc—164的各个模块的功能( xc164 Chinese handbook Detailed introduction xc-164 each module function)

The Scale-Invariant Feature Transform (SIFT) bundles a feature detector and a feature descriptor. The detector extracts from an image a number of frames (attributed regions) in a way which is consistent with (some) variations of the illumination, viewpoint and other viewing conditions. The descriptor associates to the regions a signature which identifies their appearance compactly and robustly

kalman filter tutorial code

采用BFGS变尺度算法求解无约束优化问题的matlab程序代码(BFGS variable scaling algorithm for solving constrained optimization problems matlab code)

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

基于matlab的通信系统仿真（调制到中频，基带成形）(Matlab-based communications system simulation (modulated IF, baseband shaping))

说明：  fft算法，fft与dft算法的比较，并有详细的文档说明。(fft algorithm, fft compared with the dft algorithm and a detailed description of the document.)

SMO算法的m文件以及用svr测试该算法的m文件，以及smo算法文档详细介绍及使用说明(The SMO algorithm m file and test the algorithm using SVR m files, as well as the SMO algorithm document details and instructions)

uwb receiver and transceiver with matlab