Chapter8

PCA算法，用于用于主分量分析，挺好用的！！！！！！！！！(PCA algorithm for principal component analysis used, very good use! ! ! ! ! ! ! ! !)

matlab的程序，光伏电站中太阳能电池的仿真模型，希望有用(matlab program, the simulation model of the solar photovoltaic power plants, I hope useful)

guss siedel load flow

说明：  基于频熵的改进减谱算法，程序中的r值，需根据实际情况更改大小！(Entropy-based frequency spectrum by improving the algorithm, the program of the r value, need to change the size of the actual situation!)

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.

Matlab源码：关于心电信号的周期峰值检测算法(Matlab source: on the ECG cycle peak detection algorithm)

Used on cellular phones to filter out background noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop). Includes a tutorial on how to use statistics (correlation coefficient) to calculate the signal to noise ratio. Realtime implementation using Texas Instruments TMS320C5510 DSK and TMS320C6713 DSK. Code mostly in C, except where it would be too slow and assembly language is used.

A very popular book on MATLAB

Myadams.rar算法， 进行2阶Adams运算，迭代，模拟电路电压计算，拉氏变换( Adams Arithmetic)

根据采样定理对信号采样，之后依据采样值恢复原信号。恢复的信号基本一致，验证性(Signal is sampled according to the sampling theorem, and then restore the original signal based on sampled values. Recovered signal basically the same, confirmatory)