theoutputphotocurrentIphofthesamepieceofsolarcell

并联混合动力的SIMULINK模型，可以参考下！ 是基于SIMULINK中自带的DRIVELINE中的模型建立的！(SIMULINK model of parallel hybrid, you can refer to the following! Is based on SIMULINK, the model comes with built DRIVELINE!)

BPSK调制方式 产生信号，希望那个对大家有所帮助(BPSK modulation signal, in the hope that all of you to help)

about Make Folder in Window C#

频域反馈均衡器仿真设计，采用FFT快速变换，抗通信中的多径干扰(frequency decision feedback equaliter，use FFT，in order to estimate the ISI in communication)

GMDH Neural Network Implementation

arma时间序列预测，可以用来通过过去的数据预测未来的风电功率(arma，you can use it to predict the future wind power )

复杂网络算法与应用教程的例子源代码，对复杂网络学习和实验有提高(Complex network algorithm and Application Tutorial example source code, complex network learning and experiment has been improved.)

Fast Fourier Transform

讲述了一种基于RS吗的软扩频通信及其simulink仿真(About you based on the soft RS simulink simulation of spread spectrum and its)

实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf)