SAR--CS-imaging

％ 该Matlab程序基于牛顿－拉夫逊算法，用于计算已知导纳矩阵、PQ节点、PV节点、平衡节点(UA)的电力网络潮流 ％ U - 各节点母线电压 S - 各节点注入功率 S_net - 电力网络总损耗 ％ PQ_P - 实算PQ节点注入有功功率 PQ_Q - 实算PQ节点注入无功功率 ％ delt_PQ_P - 实算PQ节点有功功率修正值 delt_PQ_Q －实算PQ节点无功功率修正值 ％ delt_UA_P - 实平衡节点有功功率修正值 delt_U_2 - 实平衡节点电压平方修正值 ％ delt_PQV - 实算P Q U^2修正值 J - 雅可比矩阵 ％ e - 电压实部 f - 电压虚部 delt_ef - 电压实部与虚部修正值( The Matlab program based on the Newton- Raphson algorithm is used to calculate the admittance matrix is known, PQ node, PV node, the node balance (UA) the trend of the electricity networks U- the node bus voltage S- each node injection power S_net-- The total loss of electric power networks PQ_P- operator PQ is injected into active nodes PQ_Q- operator PQ is injected reactive power node delt_PQ_P- is considered the correct value of active power PQ node delt_PQ_Q- really count PQ node reactive power to amend the value of delt_UA_P- real active power balance of the correct value of the node delt_U_2- node voltage balance is the correct value of the square of delt_PQV- really count PQU ^ 2 the correct value of J- Jacobian matrix e- voltage real part f- the imaginary part of voltage delt_ef- voltage real part and imaginary part of the amendment value)

等间隔的OFDMA程序，里面有在多径信道下做的，对OFDMA的入门者有极大的帮助(interval of OFDMA procedures, which are in multi-path channel do, for the beginners OFDMA a great help)

潮流准调和分析 Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd(y,D,Y,tm,A1) 计算6个准调和分潮的振幅系数和初相角公式 aM.m [N n aa liu_u liu_v]=aM() 基础系数矩阵，目前D和d值是取用的各段数据的中间时间值，t是以中间为0左右对称取； 视差潮龄A1需要预先得知 同时本程序负责读取原始测流数据，格式为 站位名称 观测数据段数N（即大 中 小潮） 第一段起始时间YYYY MM DD HH mm ss 第一段个数n1 speed direction speed direction ... 第二段起始时间 YYYY MM DD HH mm ss 第二段个数n2 speed direction speed direction ... 第三段起始时间 YYYY MM DD HH mm ss 第三段个数n3 speed direction speed direction ... UVg.m [U V Ug Vg]=UVg() 求调和常数U V和迟角Ug Vg Tuoyuan.m 计算各准调和分潮的椭圆要素W theta K k (The quasi harmonic analysis of tidal current Dd.m [DO1 dO1 DK1 dK1 DM2 dM2 DS2 dS2 DM4 dM4 DMS4 dMS4]=Dd (y, D, Y, TM, A1) calculation of 6 quasi harmonic division of amplitude and initial phase angle formula of the coefficient of tide AM.m [N n AA liu_u liu_v]=aM () foundation coefficient matrix, the current D and D values are the middle time of each section of data taken the value of T is in the middle for symmetric about 0 Age of parallax A1 need to know in advance At the same time, this program is responsible for reading the original flow measurement data, format for Site name The observation data segment number N (that is, in the low tide) The first section of the YYYY MM DD HH mm the starting time of SS The first section number N1 Speed direction Speed direction ... The second section starting time YYYY MM DD HH mm SS The second section number N2 Speed direction Speed direction ... The third section starting time YYYY MM DD HH mm SS The third section number )

我做的一个用matlab程序编写的BP算法，是是我毕设的一部分，程序运行绝对没有问题，欢迎大家指正。(I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct.)

这是关于matilab的一百个实例非常实用，初学者可以多加以琢磨(This is about the matilab one hundred examples, very practical, beginners can try to consider )

剪切图片，有利于初学者，希望能够帮助有些人(cut picture)

说明：  实现协作频谱感知的瑞利衰落信道的and融合策略(Cooperative spectrum sensing in the Rayleigh fading channel and integration strategy)

transformer less shunt apf control

it is a very essential matlab code.

Genetic algorithm applied to transistor sizing