MATLABtuxiangchuliminglin

非常好的应用软件，欢迎大家抢购使用,非常非常好非常好非常好非常好非常好非常好(very beautiful ,please come and buy)

Direct sequence spread spectrum (DSSS) communication systems has been widely used in these years for its advantage of wide spectrum, low working Signal-to-Noise ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD. They are increasingly replacing conventional communication forms and obtaining extensively applications in modern military and commercial communication systems, for example, CDMA communication system, GPS , measuring and control system, satellite chain, identification of friend or foe and etc. Therefore, corresponding DSSS electronic counter technique becomes a big problem to solve in electronic warfare domain. DSSS electronic counter technique including blind detection, blind parameter estimation and spreading sequences estimation. For the issue of DSSS electronic counter technique of DSSS/QPSK signal damaged by strong additive white Gaussian noise (AWGN), the main research content in this dissertation as follow.

MATLAB软件对b样条曲线曲面进行拟合(B-spline curve and surface fitting)

经典功率谱估计的matlab代码，包括周期图法，ＢＴ法和Welch法，便于对经典功率谱估计性能的理解。(Classical power spectrum estimation matlab code, including Periodogram, BT France, and Welch law, to facilitate the performance of classical power spectrum estimation understanding.)

该文件时通信原理中的最基本的数字调制方式BPSK（二进制相移键控），希望对大家学习有帮助(When the file is the basic communication principle of digital modulation BPSK (binary phase shift keying), we hope to learn helpful)

几种基本粒子群算法的matlab代码，逐步提升，有助于初学者。(Several basic particle swarm algorithm matlab code, and gradually improve, to help beginners.)

载波调制的数字传输：载波相位调制和代码实现 (Modulation of the Digital Transmission: Carrier-phase modulation and code implementation)

Lorenz混沌系统同步技术研究与仿真，基于PC法的混沌同步，基于线性状态反馈的混沌同步和基于观测器的混沌同步(Lorenz chaotic system synchronization technology research and simulation)

说明：  循环平稳时间序列中关于高阶循环累积量的程序 (Cyclostationary time-series on high-order cumulant of the process cycle)

exercise 4.11 of the book "informatioin theory,inference,and learning algorithm"