finite-length-solenoid

说明：  线性调频信号测距的程序以及实现操作，主要是matlab进行操作(LFM signal ranging procedures and implementation of the operation, mainly matlab operation)

说明：  some code of spectral estimation method-non parametric method

说明：  本程序用于完成BPSK、QPSK、pi/4QPSK、OQPSK、8PSK、16QAM、32QAM、64QAM和128QAM的调制仿真。并可任意扩展到MPSK和MQAM。程序分成四个部分，fir.m对基带码元序列进行脉冲成型，可选矩形脉冲，升余弦脉冲和平方根升余弦脉冲； modal.m 为主程序，完成岁各种信号的基带星座图映射、脉冲成型和调制；pi4QPSK.m 为pi/4QPSK信号的星座图映射程序；test1.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, pi/4QPSK, OQPSK, 8PSK, 16QAM, 32QAM, 64QAM and the modulation 128QAM simulation. Arbitrary and may be extended to MPSK and MQAM. Procedures are divided into four parts, fir.m of baseband symbol pulse sequences forming, optional rectangular pulse, raised cosine square root raised cosine pulse and pulse modal.m-based procedures, the completion of the age range of the base-band signal constellation diagram mapping, pulse shaping and modulation pi4QPSK.m for pi/4QPSK signal constellation diagram mapping procedures test1.m given spectrum shows a simple test.)

SDOF system distance calculate using Duhamel integral method。

考虑了基站通过多个中继与多个用户的问题，基于背包问题提出了最优功率分配。(the optimal power allocation is presented based on knapsack problem for a system with a base station communication with multiple users assisted by multiple relay.)

This is a MATLAB implementation of the SIFT detector and descriptor

极化码编码中的scl译码算法，代码含有比较详细的注释(SCL decoding algorithm in polarization code coding with detailed comments)

用来测试手机待机情况下所能使用的最大内存量，普通用函数调用得到的剩于内存是错误的，这个通过用INT占用内存来获得可以使用的内存真正空间大小(Used to test mobile phone standby cases the maximum amount of memory can be used by the general use function calls get left in the memory is wrong, it occupied by the memory by using INT can be used to obtain the real memory space)

calculation of transformator parameters by Mfile in Matalb software (power engineering field)

希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))