Solar

De John s second equation using Evolutionary strategies(ES)...

自己编写的可能性c均值聚类算法。数据需要自己load，里面有main函数,改成自己的数据就可以运行。比模糊c均值更加鲁棒的一种聚类算法，缺点是容易产生重合聚类。(possibilistic c means clustering algorithm.)

近距离卫星的任务规划。论文中给出了详细的程序设计和Basic以及Matlab程序代码。(Given an initial orbit and a set of other orbits of interest, the path requiring the lowest change in velocity between them is of high value. Software was developed to visualize the change in velocity required from a user defined window of burn to a user defined window of intercept. The time between burn and intercept is unrestricted. Multiple intercepts require searching an n! solution space. Research then is focused on ways to pick optimal choices without fully calculating out the cost of doing all possible combinations. Some code was translated from BASIC and the rest was newly developed in MATLAB. The code was validated using orbits with known intercept solutions.)

This paper focuses on a Matlab/SIMULINK model of a photovoltaic cell. This model is based on mathematical equations and is described through an equivalent circuit including a photocurrent source, a diode, a series resistor and a shunt resistor. The developed model allows the prediction of PV cell behaviour under different physical and environmental parameters. The model can also be used to extract the physical parameters for a given solar PV cell as a function of temperature and solar radiation. In addition, this study outlines the working principle of PV module as well as PV array. In order to validate the developed model, an experimental test bench was built and the obtained results exhibited a good agreement with the simulation ones.

k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

MATLAB codes for blind forgery systems

Abstract：Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationofπ/ 4-DQPSKsysteminthesoftwareSystemView.Besides，thearticleanalysesthedynamicandstatic behaviorsoftheπ/4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetweenπ/4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingofπ/4-DQPSKissuperiortothatoftheQPSKsystem. Keywords：π/4-DQPSK；SystemView；computeraideddesign（CAD）；Matlab(Abstract: Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationof pi/4-DQPSKsysteminthesoftwareSystemView.Besides, thearticleanalysesthedynamicandstatic behaviorsofthe pi /4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetween pi /4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingof pi /4-DQPSKissuperiortothatoftheQPSKsystem. Keywords: Pi /4-DQPSK; SystemView; Computeraideddesign (CAD); Matlab)

there is some code in matlab that will provide help in the field if digital image processing.it includes the code of extracting region of interst, median filter, nearest neighbour point sampling technique, negative of an image etc. and it is done by myself because i am doing becholar of computer science.it does not include any copyrighted content.i hope it will help thoes people that required help in the field of digital image processing.

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

this file is for mfcc extraction