XIAOBOSHUIYING

gps跟踪中的伪码相位，很好用的，可以下载下来(pncode——track)

光脉冲在光纤中传输时受到二阶色散作用，求解二阶色散方法(pulses in optical fiber transmission by the second-order dispersion role for second-order dispersion methods)

电梯控制模型的搭建,可生成对应的HDL代码(elevator control)

teqc生成那8个compact文件，注意不是compact2或compact3，可以快速画图，比qcview方便多了，又快有美观！至于compact文件我会另外上传！( TEQCFV Read and plot TEQC report files (fast view) TEQC is the Toolkit for GPS/GLONASS/SBAS Data used to solve many pre-processing problems with GPS, GLONASS, and SBAS data: TEQC stands for Translation, Editing, and Quality Check More info here: http://facility.unavco.org/software/teqc/teqc.html TEQCFV(FILENAME) returns the content of a TEQC reportfile in a figure (and a matrix). Input argument FILENAME is optional. Valid TEQC report files are: FORMAT DESCRIPTION *.sn1 Signal to noise ratio (S/N) Carrier L1 *.sn2 Signal to noise ratio (S/N) Carrier L2 *.iod Derivative of ionospheric delay observable (m/s) *.ion Ionospheric delay observable (m) *.mp1 Multipath Carrier L1 *.mp2 Multipath Carrier L2 *.azi Satellite azimuthal data (degrees) *.ele Satellite elevation data (degrees))

用matlab 实现ofdm,输入的是长度为256的随机序列，其中用到了opsk调制，ifft和fft变换(Using matlab realize ofdm, enter the length of the random sequence 256, which uses a opsk modulation, ifft and fft transform)

Tutorial and multiple Simulink examples regarding the integration of m-Files into Simulink models.

8阵元均匀圆阵MUSIC算法。里面含有三个入射信号。(8 element uniform circular array MUSIC algorithm. It contains three incident signal.)

matlab调用C++程序，实现for循环加速。有详细步骤，供同学参考~谢谢！(call C++ matlab program to achieve for loop acceleration. There are detailed steps for students to reference ~ Thank you!)

说明：  智能驾驶车辆路径规划中的A*算法以及注释(A * algorithm and notes in intelligent driving vehicle path planning)

The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of the Adaline, the network only recognizes the exact training patterns. When the application is ported into the multi-layer backpropagation network, a remarkable degree of fault-tolerance can be achieved.