Dv-hop-mynew

matlab program to find prime numbers

桥梁结构模态参数识别,emd,hht,wt(parameter identification using emd method)

steganography dct image algorithm. very useful for implementing dct and idct concepts in matlab......

神经网络Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the (Neural Networks Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicator)

％File: c9_estimatepi.m ％有5个pi的估计，每一个都是基于500次重复随机试验，所得的pi的五个估计值用以下向量表示 ％pi的估计值=[3.0960 3.0720 2.9920 3.1600 3.0480] ％如果对5个结果进平均，则pi的估计值=3.0736,这样的结果等价于2500次的试验结果。( File: c9_estimatepi.m have 5 pi estimates are based on a randomized trial to repeat 500 times the income of the five estimated value of pi with the following vector, said the estimated value of pi = [3.0960 3.0720 2.9920 3.1600 3.0480] if the results into an average of 5, then the estimated value of pi = 3.0736, so the result is equivalent to 2500 times the test results.)

matlab下利用元胞自动机进行细菌生长模拟，具有一定的学习价值(matlab under utilization of cellular automata for bacterial growth simulation, has a certain value of learning)

m-ary PAM simulation code

经验模式分解（EMD）是处理非线性，非平稳信号的一种有效算法。本论文是黄锷先生关于算法的描述(Empirical Mode Decomposition (EMD) is linear and non stationary signals an effective algorithm. Mr. Huang E of this paper is the description on the algorithm)

dv-hop算法改进的matlab仿真程序，提高了算法的覆盖率。(Improvement of DV-Hop)

converse data from kml file to matlab