matlab-communication-1

自己仿真的四元数法的龙格库塔的姿态解算matlab仿真(Their simulation method quaternion attitude Runge-Kutta solver matlab simulation)

用基本的粒子滤波算法，即SIR运行UNGM模型。通过UNGM模型显示SIR对于非线性系统的性能。(With the basic particle filter algorithm, that is, to run UNGM model of SIR. By UNGM model shows SIR for the non-linear system performance.)

参考外国文献，通过MATLAB程序编写了以两个简单的ISPLSk映射构造一个双混沌互扰 NAbRdPi系统,提出了基于双混沌互扰系统的无线加密算法，具有防窃听的能力，调试无错误。(References to foreign literature, through MATLAB programming the ISPLSk with two simple mapping to construct a mutual interference NAbRdPi dual chaotic systems is proposed based on the wireless encryption algorithm dual chaotic mutual interference system has the ability of anti-wiretapping, debugging errors. )

64QAM 基于MATLAB调制解调仿真，部分(64QAM)

graphical drawing of matlab files in guide format

i am very tired to describe this is a surprise

压缩感知的BP MP OMP重构算法比较，包括运行时间、误差、PSNR的比较，稀疏表示为小波变换(compressed sensing reconstruction algorithm comparing BP MP OMP, including comparative run-time error, PSNR ，sparse representation is the wavelet transform)

关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并加入门限自适应算法，实现语音端点检测(Several methods on endpoint detection, recording their own voice samples, the traditional algorithm has made some improvements, adding a de-noising, and then after de-noising endpoint detection are transferred through)

BP神经外那个罗可以逼近任意函数，此为拟合函数的源代码(BP neural network can approximate any function, the source code for the fitting function)

QPSk MOdulation SNR and BER