MWC-subnyquist

有限单元集成刚度程序，用于计算常见单元刚度矩阵及集成。(beamassemble .ect.)

Cripting with public key....

能够实现信号的魏格纳分布变换，对信号进行时频分析(Signal Wigner transform, time-frequency analysis of the signal)

.Sparse coding algorithm.We can also apply it onefficient sparse coding algorithm to a new machine learning framework called "self-taught learning", where we are given a small amount of labeled data for a supervised learning task, and lots of additional unlabeled data that does not share the labels of the supervised problem and does not arise from the same distribution.

无线传感器网络所具有的众多类型的传感器，可探测包括地震、电磁、温度、湿度、噪声、光强度、压力、土壤成分、移动物体的大小、速度和方向等周边环境中多种多样的现象。基于MEMS的微传感技术和无线联网技术为无线传感器网络赋予了广阔的应用前景。这些潜在的应用领域可以归纳为:军事、航空、反恐、防爆、救灾、环境、医疗、保健、家居、工业、商业等领域。(Wireless sensor networks have many types of sensors can detect, including seismic, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, the size of moving objects, velocity and direction of the surrounding environment, a variety of phenomena. MEMS based micro-sensor technology and wireless networking technology for wireless sensor networks given the broad application prospects. These potential applications can be summarized as: military, aviation, terrorism, explosion, disaster relief, environment, health, health, home, industrial, commercial and other fields.)

E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) Dcc

北京航空航天大学出版的matlab从零进阶的原程序代码第1章案例21.2源代码(Beijing University of Aeronautics and Astronautics from zero Advanced matlab published the original program code in Chapter 1 Case 21.2 source code)

source code for reduct using matlab

turbo的文件用MATLAB的仿真程序有一定的参考价值啊，(SIMULATION TURBO CODE USING MATLAB)

这是一篇关于adaboost.m1算法的人脸识别源码,识别率挺高的，读入任意人脸库即可运行，已经过测试(This is a source code of face recognition algorithm on adaboost.m1 .code has been tested ,you can read face database to run)