transient-performance

SAR成像算法实现 基于MATLAB平台(SAR imaging algorithm based on MATLAB platform)

This Toolset comprises of the following files: 1) RunTutorial.m Runs and publish in html format the Tutorial.m file. 2) Tutorial.m A quick reference tutorial for the DE_TCR algorithm. 3) DE_TCRparam.m Generates the required parameters to run the DE_TCR algorithm. 4) DE_TCR.m Runs the optimization algorithm. This code implements a version of the DE_TCR algorithm described in: G. Reynoso J. Sanchis X. Blasco Juan M. Herrero. Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems. In IEEE Congress on Evolutionary Computation. CEC 2011. (ISBN 978-1-4244-7833-0). New Orleans (USA). June 2011. 5) LocalSearch.m Runs the Local search routine. 6) CostFuntion.m The cost function to optimize

matlab与mas系统的结合 设计了多智能体的合作与竞争机制 效果还不错(The combination with the mas matlab system designed multi-agent cooperation and competition results were pretty good)

MATLAB与控制系统仿真实践 源代码，适合初学者使用和借鉴(MATLAB and Control System Simulation practice source code, suitable for beginners to use and learn)

QPSK-MSK-QAM-OFDM matlab仿真m文件(QPSK-MSK-QAM-OFDM matlab simulation m file)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

认知无线电系统中存在载波频偏的OFDM频谱感知技术1001-0548(2013)03-0355-05 (OFDM Signal Sensing Scheme for Cognitive Radio in the Presence of Carrier Frequency Offset.)

基于标准支持向量机对传感器的线性系统用MATLAB软件进行仿真建模程序(Based on the standard support vector machine (SVM) of the linear system of sensor with the MATLAB software simulation modeling procedures )

pss+ SVC in power systemi n chicago nakhor

不敏卡尔曼滤波算法及其性能分析，对研究目标跟踪有所帮助。(UKF and its performance analysis, which is helpful for target tracking.)