matlab-s-fucntion

matlab code for pca

digital image processing its the best approach to processing medical image which is high bit rate image! 7ayder..eng

针对电力系统中风电和光伏出力以及负荷不确定性问题，该程序通过拉丁超立方抽样和样本削减将其转化为场景分析问题。(For stroke power and photovoltaic power system output and load uncertainty, the program by Latin Hypercube Sampling and sample reduction to convert it into a scene analysis of the problem.)

《基于计算机的信号处理实践》 著者： （美）麦克莱伦等著 作译者： 栾晓明译 ISBN号： 7-121-02023-8 出版日期： 2006-01 出版社：电子工业出版社 内含书用使用到的资源：例子所需的MAT文件信号，以及程序用用到的子程序代码。()

三维TDOA_AOA定位的扩展卡尔曼滤波仿真主程序(3D TDOA_AOA positioning the extended Kalman filter simulation main program)

调制识别的传统算法， 零中心归一化瞬时幅度的谱密度的最大值 零中心归一化瞬时幅度绝对值得标准偏差 零中心非弱信号段瞬时相位非线性分量绝对值的标准偏差 零中心非弱信号段瞬时相位非线性分量的标准偏差 零中心归一化非弱信号段瞬时频率绝对值得标准偏差(Traditional modulation recognition algorithm, the zero center owned by an instantaneous amplitude of the spectral density of the maximum zero center owned by one of the instantaneous amplitude is definitely worth the nonlinear component of the instantaneous phase of the absolute value of standard deviation of zero-center non-weak signal segment, standard deviation of zero center weak signal segment of the standard deviation of the nonlinear component of the instantaneous phase zero center owned by the instantaneous frequency of a non-weak signal segment is definitely worth the standard deviation)

This is a funciton programmed in matlab to Calculate Minimum Costs and Paths using Dijkstra s Algorithm. The function can input different data format. The output is easy to understand and can be used to analyze network feature for students to study.Several demos have been included in the source code.

本压缩包包含使用matlab解一般方程的源代码和ppt演示，希望对个位有所帮助~~~(This archive contains the general solution of equations using matlab source code and ppt presentation, we want to help a bit ~ ~ ~)

matlab 蚁群算法算法 matlab代码(matlab matlab code ant colony algorithm)

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)