wireless_sim_120302

用matlab仿真的八路时分复用系统，包括变速复接巴克码解复(Matlab simulation with eight-way time-division multiplexing system, including the Barker code transmission multiplexing demultiplexing)

自编的FFT、DTFT程序用于频谱分析，Rife是一种频谱校正方法，分别给出了以上算法的Matlab程序并且画出了图形。已调试通过。(FFT、DTFT codes writen by Matlab,for spectrum analyse.Rife is a method for spectrum correction.Figures are also given.These codes has been tested already.)

videp song that used toi viuslis

说明：  使用ant_colony_system蚂蚁系统解决TSP问题 (Using the ant system to solve TSP problems ant_colony_system)

单位冲击响应 单位脉冲响应 单位斜坡响应及稳态误差的计算(Unit impulse response unit impulse response unit ramp response the calculation of the steady-state error)

正交相移键控 (Quadrature Phase Shift Keying)简称“QPSK”，是一种数字调制方式。它分为绝对相移和相对相移两种。由于绝对相移方式存在相位模糊问题，所以在实际中主要采用相对移相方式DQPSK。目前已经广泛应用于无线通信中，成为现代通信中一种十分重要的调制解调方式。(QPSK THAT IS TO SAY....)

基于simulink的rayleigh信道仿真（jakes模型）及误码率的计算(Rayleigh channel simulink based simulation (jakes model) and the BER)

正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse decomposition is proposed prior to compressed sensing. The purpose of signal sparse representation is to represent the signal with as few atoms as possible in a given overcomplete dictionary. The more concise representation of the signal allows us to more easily obtain the information contained in the signal, making it easier to further process the signal, such as compression and coding.)

说明：  用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果(Course deals with mushrooms data on pattern recognition of various pattern classification methods [linear classification, Bayesian classification, Parzen Windows, KNN] and feature selection and dimension reduction method of PCA, LDA is simulated, the results of all kinds of classification methods are given)

说明：  IQ调制基本原理！！！！！！！！ (IQ modulation principle! ! ! ! ! ! ! !)