sound02

Setup and run EPANET simulations in Matlab

vivid insight into the thory of surveying and its applications by A M Chandra

说明：  采用S函数设计神经网络PID控制器，该算法控制器应用于Simulink控制中，对初学者或其他算法的常规比较有较好的效果。(The neural network PID controller is designed in S-function, and the algorithm controller is used in Simulink control, which has a better effect for beginners or other algorithm routine comparison.)

TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs, NET - Neural network. Pd - Delayed input vectors. Tl - Layer target vectors. Ai - Initial input delay conditions. Q - Batch size. TS - Time steps. VV - Either empty matrix [] or structure of validation vectors. and returns, NET - Trained network. TR - Training record of various values over each epoch: TR.epoch - Epoch number. TR.perf - Training performance. TR.vperf - Validation performance. TR.tperf - Test performance. TR.mu - Adaptive mu value.

Often we are interested to see how the adaptation of the coeffi cients works or how the error behaves over time. Therefore we need the function [y,e,c]=lms2(x,d,N,mu) which provides us more output arguments

信号DOA的估计算法,学习空间谱估计的同学可以参考(the signal DOA estimation algorithm, learning spatial spectrum estimation can refer students)

Time-Frequency Toolbox，其中包含一些常用的matlab程序，很好用的(Time-Frequency Toolbox. which contains some frequently used Matlab procedures, the good)

对CDMA通信系统进行matlab仿真，包括Viterbi编码（卷积编码），交织，扩频，调制，解调，抽样判决，解偏置,码型转换，解交织等源代码，给出了误码率曲线。(Matlab on the CDMA communication system simulation, including the Viterbi coding (convolutional coding), interleaving, spreading, modulation, demodulation, sampling decisions, solve bias, format conversion, such as source code deinterleave given bit error rate curve.)

Beyond software architecture

主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 (Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction)