FFT_DEMO_with_MATLAB

通过9位置法进行加速度标定，采集旋转数据进行陀螺仪标定以及磁力计的标定，以达到减小误差为后续姿态跟踪或解算提高精度(IMU calibration)

通过选择合适的参数，选取采样相应的采样点，进行参数计算。(By choosing appropriate parameters, select the corresponding sampling point sampling for parameter calculation.)

从其他网站下载的经典蚁群算法，对初学者非常有用，请看看。(downloaded from other websites of the classic ant algorithm, very useful for beginners, please look at.)

一个比较完善的Matlab画图,较为有用并且符合实际(Matlab 3D figure)

绘出DSB解调器的输出并给出功率为其0.001，0.01，0.05，0.1和0.3倍的白高斯噪声存在的情况下解调器的输出(Mapped DSB demodulator output and gives power to its 0.001,0.01,0.05,0.1 and 0.3 times the white Gaussian noise exist demodulator output)

Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。(Breiman’s bagging, short for bootstrap aggregating, is one of the earliest ensemble based algorithms.)

QPSK信号通过Rayleigh信道，并计算出误码率(QPSK signals go through Rayleigh channel)

微信功能实现通信机制沟通你我他.在你我他之间架起沟通的桥梁(Micro-channel communication mechanism to achieve functional communication you and me. Between you and me, he acted as bridges)

Speech Recognition using Neural Networks

These functions have been developed to watch and analyze EEG/Video/Accelero(3A)/Magneto(3M) data in the context of the Epimouv/Capametrim project. The project aim is to recognized epileptic movement disorders by determining regions of interests on the video and classify motor manifestations thanks to 3A3M sensors.