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PTS算法降低ofdm系统中的峰均功率比(PTS algorithm reduces PAPR ofdm system)

Oustaloup approximation for FOC

基于分数阶傅里叶变换的脉冲压缩信号的参数估计，包括信号的产生，时域仿真，分数阶傅里叶变换及详细的参数估计过程。 (Pulse compression signal parameter estimation fractional Fourier transform, including signal generation, time-domain simulation, fractional Fourier transform and detailed parameter estimation process.)

提取点云的边缘，最小二乘法拟合曲面的方法 效果特别好(To extract the edge of the point cloud, the least squares fitting method of surface effect is very good)

元胞自动机模拟交通状况，可以进行超车，可模拟堵车(Cellular automata simulation traffic conditions, overtaking can be simulated traffic jam)

The package contains matlab coding and algorithms which will be easy to understand and provides a variety of strategies to develop a good programming skill

QAM系统仿真，包括调制解调以及误码性能分析(QAM system simulation, including the modulation and demodulation and BER)

M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)

MAP algorithm. I m only sharing it with you.

利用DFT分析离散信号频谱的实验。利用FFT分析信号 x[k]=cos(3pik/8 +pi/4 ) 的频谱；确定DFT计算的参数，绘出其频谱；并进行理论值与计算值比较。(DFT analysis of discrete signal spectrum utilization experiments. Analysis using FFT signal x [k] = cos (3pik/8+ pi/4) of the spectrum determine the parameters of DFT calculations, draw its spectrum and comparing the theoretical and calculated values.)