simulation

simulink中搭建boost升压电路，为满足精确度要求和增大相应速度进行双环控制。(Boost boost circuit is set up in Simulink to control double loop in order to meet the precision requirement and increase the corresponding speed.)

说明：  蓝牙室内定位KNN实现例程 蓝牙室内定位BP实现例程 蓝牙室内定位RBF实现例程 可见光室内定位RBF例程(Bluetooth indoor positioning routine Visible indoor positioning routine)

Erlang formula. Best formula for probability calculation

上行MC_CDMA_TDD系统中的新型预补偿技术(New uplink MC_CDMA_TDD system pre-compensation)

用matlab模拟球形微粒的散射特性。。。。。。。(Simulate the scattering properties of spherical particles)

learning about Petri net toolbox

This is a Matlab function that calculates the band structure for an one dimensional structure by means of PWE method. you will see more details about using it insid the file.

信号处理matlab经典图书，用matlab对数字信号进行分析和处理。作者刘树棠(Signal processing matlab classic books, the digital signal using matlab analysis and processing. Of Liu Shutang)

求交点 本文件提供了多种求取交点的程序 并包含了详细的注解(Intersects This document provides a variety of programs to strike a point of intersection and includes detailed comments)

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)