DCTMATLAB

说明：  bp人工神经网络的 matlab编程 简单 通用 易实现(bp artificial neural network matlab programming easy to achieve a simple general-purpose)

msp430 I2C读写源程序，两个例程。(MSP430 I2C)

灰色系统模型的matlab实现，统计分析时不可或缺的一种模型。通过此m文件直接预测分析所需数据(Matlab implementation of the gray system model, an indispensable model in the statistical analysis. This m file directly predictive analysis required data)

matlab在电子信息工程当中的应用，绝对值得专业下载，学习(professional download matlab in which the application of the Electronic and Information Engineering, definitely worth learning)

主要功能是对数据进行自相关处理，然后通过带通滤波后进行解调，得到数据的主要特征。(The main function is to carry on the data correlation processing, and then through the band-pass filter after demodulation, get the main features of the data.)

对心电信号进行滤波处理后，计算RR间隔，进而求得瞬时心率和心率变异系数，通过对RR间隔的变化曲线进行频谱分析，从而求得各个自律神经活动的评价指标(After filter processing is performed on the ECG, the RR interval is calculated, and then seek the instantaneous heart rate and heart rate variability coefficient, spectral analysis through the curves of changes in the RR interval, to thereby obtain the evaluation index for each of the autonomic nervous activity)

6 ghz low noise amplifier

Cell segmentation with morphologic operations

做过模糊PID的朋友很多遇到过这种问题，就是仿真启动不起来，停留在e-7等地方或者仿真很慢，自次上次有个朋友说改变步长能解决这个问题，最后的曲线能达到满足要求的时候，我让他找个例子他就没有后文，以前我做了很多这样的模糊PID，但靠改变步长并没有解决问题，仿真曲线直接发散出去了，我自己这两天也总在思考这个问题，通过不断的调试总结，明白了不少，给遇到这个问题的朋友讲解一下解决办法吧，以一个例子详解：(Done a lot of friends of the fuzzy PID encountered this problem, simulation start up, stay in the e-7 and other local or simulation is very slow, have a friend who said to change the step size to solve this problem since the times the last, the finalcurve to achieve to meet the requirements when I asked him to find examples of his later, I have done a lot of fuzzy PID, but by changing the step does not solve the problem, the simulation curve directly divergence out, Itwo days always thinking about this problem, summarized by the debug and understand a lot of friends to experience this problem to explain the solution, an example Detailed:)

mobile user location matlab coding