wavelet_denoise

Floyd最短路算法的MATLAB程序 (Floyd shortest path algorithm of MATLAB program)

一个SOFC中燃烧室的模型搭建，包括m函数，simulink模型(a burner model for solid oxide fuel cells(SOFＣ),it include m.file, and simulink model )

atmel ATMEGA16 Microcontroller

说明：  用matlab实现连续视频的分割与采集，其中用读视频指令把连续的视频转化为一帧一帧的图像，用帧间差分法和背景差分法实现(Matlab for continuous video with the segmentation and the acquisition, including video instruction with the reading of the continuous video into a frame of an image, with the frames and the background difference method difference method to achieve)

Self-Orthogonalizing Frequency-Domain Adaptive Filter Based on Haykin, Adaptive Filter Theory 4th ed. Section 7.2

粒子群优算法在求解优化问题时非常智能和迅速，这里用二进制粒子群算法来求解组合优化问题的matlab程序。(Binary Particle Swarm Optimization)

基于A星算法的航迹规划MATLAB代码，空间是三维的(A satellite-based path planning algorithm MATLAB code, space is three-dimensional)

采用matlab或其它软件工具编程实现。 ">

％ 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)

TEST_FBMPC Demonstrates how to construct a signal according to the signal model, and recover the signal using the FBMP algorithm by calling the function FBMPC_FXN