Binary-Image

program for trafic sing detection

C编写的8PSK调制解调，很有用，值得学习，代码编写很规范(Written in C 8PSK modulation and demodulation, very useful, it is worth learning, very standardized coding)

现代通信系统(matlab版) 书中的matlab源代码(Modern communications systems (matlab version) book matlab source code)

说明：  suoha.rar 哈梭matlab源程序(Soe suoha.rar Kazakhstan matlab source)

％ 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)

透视变换,由于摄像头存在透视效果 所以很多时候需要进行世界坐标系和图像坐标系下的转换(perspective transformation, As the camera lens effect so there is often the need for the world coordinate system and the image coordinate system conversion)

target selection simmulation performance

用Matlab编写的铅垂平面内的比例导引方案弹道程序，目标为水平面内的平动物体(Proportional navigation scheme with ballistic programs written in Matlab vertical plane, the target for the level of animal body in a horizontal plane)

campos de direcciones hechios en matlab con codigo abierto

最小熵解卷积，通过解卷积运算降噪，且能实现故障特征分离(Minimum entropy deconvolution, deconvolution operation by noise, and can achieve separation of fault features)