hiswavelet

GPS filtering down to prevent

It is a files related to basic programes of MATLAB

用matlab打开NC(netcdf)格式的文件；下载后直接解压放到toolbox,然后set path之后就能用了，非常方便(To open the file of netcdf format；Just decompress it and put it into toolbox set path to it )

说明：  gps系统的仿真举例，主要是功率谱密度的仿真。结果正确。(gps system simulation for example, is the power spectral density of the main simulation. Was correct.)

晶闸管控制串联电阻在500kv电力系统的matlab仿真中的应用。(Modeling and simulation of 500kv power system.The theoretical ground and design realization of alternating current power lines of the new type- Controllable Flexible A.C. Transmission Systems (CFACTS) are considered. Earlier lines of such type had been known as Controlled Self- Compensating High Voltage Transmission Power Lines (CSHVL), as well as Controlled Compact Transmission Power Lines. The CFACTS design principles and the basic CFACTS design directions are implemented. The basic characteristics of CFACTS (500kV) which are studying have great prospects. CFACTS(10, 35, 110 kV) which already built and maintained. )

北斗二代B1频点接收机捕获Matlab源代码(BD2B1 Matalab Receiver)

说明：  这是一个深度神经网络LSTM的教程，里面包含许多例子(Example of Lstm network)

ART1自适应谐振网，已经通过测试，分类性能良好并且准确，此程序已经完成了运行，希望大家好好利用(ART1 adaptive resonance network, has passed the test, the classification performance is good and accurate, this program has completed running, I hope you make good use of)

Sequentielle Quadratische Optimierung fuer f(x) = Min!, g(x) >= 0, h(x) = 0 unter Regularitaetsbedingung FUNKTIONEN: gp.m, gp_g.m, restor.m, sigini.m name_f.m: Zielfunktion/Gradient name_g.m: Ungleichunen/Gradienten name_h.m: Gleichungen/Gradienten INPUT: name Name des Problems x zulaessiger Punkt als Startvektor OUTPUT: (x,y,z) Kuhn-Tucker-Punkt f = f(x) Funktionswert errorcode = 1: Max. Schrittzahl in Iteration errorcode = 2: Max. Schrittzahl in Backtracking errorcode = 3: x nicht zulaessig

this was my homework in the lesson "digital image processing" it is my own average and median filters function without useing the matlab s original functions . it can help your learning about filters. i uploaded whole the material but you can find it completely in "ö dev2.docx" my whole homework.