MATLAB_FDTD_SARY

This is a matlab file to remove object using inpainting technique.

这是MAtlab与DSP应用中的第4掌的例子程序 (This is the Matlab and DSP applications 4th metacarpal examples of procedures)

matlab program for feature extraction

实现在语音的DFT域内嵌入水印信息，使用平衡GOLD序列作为扩频码。(Realization of the embedded watermark information in the voice of the DFT domain，balance GOLD sequence as the spreading code)

好东西来了，基于单交叉口经典模糊控制改进的一种单交叉口两级模糊控制，效果杠杠的，毕业设计的东西，求过啊(Good things come up, two classic single intersection based on fuzzy control fuzzy control of a single intersection improvements, the effect of leveraging, graduation stuff, begged ah)

有PMUSIC 校正前和校正后的比较，Relief计算分类权重，抑制载波型差分相位调制。( A relatively before correction and after correction PMUSIC, Relief computing classification weight, Suppressed carrier type differential phase modulation.)

数字通信中,信号的频移键控的4FSK调制仿真,采用四种不同的频率调制二进制二进制比特流。(Digital communication 4FSK modulation simulation)

Specifications written in this manual are believed to be accurate, but are not guaran- teed to be entirely free of error. Specifications in this manual may be changed for functional or performance improvements without notice. Please make sure your man- ual is the latest edition. While the information herein is assumed to be accurate, Micrium Technologies Corporation (the distributor) assumes no responsibility for any(Specifications written in this manual are believed to be accurate, but are not guaran-teed to be entirely free of error. Specifications in this manual may be changed for functional or performance improvements without notice. Please make sure your man-ual is the latest edition . While the information herein is assumed to be accurate, Micrium Technologies Corporation (the distributor) assumes no responsibility for any)

数学建模中常用的方法：类比法、二分法、差分法、变分法、图论法、层次分析法、数据拟合法、回归分析法、数学规划（线性规划，非线性规划，整数规划，动态规划，目标规划）、机理分析、排队方法、对策方法、决策方法、模糊评判方法、时间序列方法、灰色理论方法、现代优化算法（禁忌搜索算法，模拟退火算法，遗传算法，神经网络）(Mathematical modeling methods commonly used: analog, Dichotomy, difference method, variational method, graph theory, analytic hierarchy process, data fitting, regression analysis, mathematical programming (linear programming, nonlinear programming, integer programming, dynamic programming, goal programming), mechanism analysis, queuing, countermeasure methods, decision-making methods, fuzzy uation method, time series method, gray theory, modern optimization algorithms (tabu search algorithm, simulated annealing algorithm, genetic algorithms, neural networks))

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