modulation

说明：  Silicon N-Channel MOSFET Triode 射频mos器件的datasheet(Silicon N-Channel MOSFET Triode RF device datasheet mos)

Economic Dispatch for power generating systems with Lagrange method

使用matlab程序读取迷宫图象文件,并进行处理,成功走出了迷宫.此程序只可以准确绘出只有一条路径的任意复杂迷宫(Read the maze procedure using matlab image files, and deal with, and successfully opened a maze. This procedure can only be accurately mapped with only one path of arbitrary complex maze)

小波分析的程序。源程序为分析厄尔尼诺现象的。可作为地震、流行病学的小波分析(Wavelet analysis procedures. Source for the analysis of the El Niñ o phenomenon. As earthquakes, Wavelet analysis of epidemiological)

基于MATLAB下FIR滤波器的设计与仿真(Based on the the MATLAB FIR filter design and simulation)

matlab小波分析软件,这是我从网上找来的，觉得很不错，对需要用matlab做小波的人来说是个很不错的东西，推荐给大家(matlab wavelet analysis software, which I got from from the Internet, I feel very good, on the need to use matlab to do wavelet who is a very good thing and recommend it to everyone)

code for blind channel equalization

五元十字阵的目标被动声定位算法仿真，给出目标方位角估计精度、俯仰角估计精度及距离估计精度，以及目标测向和测距的精度(Five-goal cross array orientation algorithm for passive acoustic simulation)

Fisher线性判别决策器，用在模式识别中(Fisher Linear Discriminant decision-making devices used in pattern recognition)

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)