ellipse_gaussiana_bivariada.m

夏氏递推算法。利用附件中的数据进行运算，给出运行结果。这是我们最近课程中用到的一个例程，希望对大家有用。(xiashiditui. Use the data contained in the annex to the operations, given the operating results. This is a routine we have recently used in the course, the hope that useful.)

matlab 求解不可压库埃特流 计算流体力学基础及应用第九章，隐式crank-nicolson 求解(Incompressible Couette flow matlab solving basic and applied computational fluid dynamics Chapter IX, implicit crank-nicolson solving)

Bi-directional sigmoid, one-way sigmoid, linear function, sign function implementation on Matlab

Splits a vector or cell array into evenly-sized chunks

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

BP神经网络运用于故障诊断的matlab程序示例,利用了matlab工具箱中原有的BP神经网络函数.(BP neural network used in fault diagnosis example matlab program using Matlab toolbox original BP neural network function.)

说明：  communication matlab

MATLAB编写的汉字繁体简体转换程序，使用GUI(MATLAB Traditional Chinese Simplified preparation of the conversion process, the use of GUI)

详解MATLAB在最优化计算中的应用中第11章的源码。没有的可以下载(Detailed MATLAB source in the optimization calculation of Chapter 11. Not available for download)

简单的奥村模型,其中程序描述了波束宽度与波达方向及阵元数的关系，以及最优权的傅里叶变换(OkumuraHata model,Array element spacing relations with wavelength,Beam width and doa and the number of array element relationship)