Chap_4

说明：  属于一群算法，用于通用性解决最短路径问题，方便快捷。(Belongs to a group of algorithms for solving shortest path problem versatility, convenience)

小波包分析提取振动信号中的特征频率，做视觉测量的上位机代码,表示出两帧图像间各个像素点的相对情况。( Wavelet packet analysis to extract vibration signal characteristic frequency, Do Vision Measurement PC code, Between two images showing the relative circumstances of each pixel.)

这是MATLAB 的一个最新应用，相信可以为现在在写论文的朋友有一点帮助(This is one of the latest applications MATLAB, I believe can now write essays in Friend have a little help)

仿真电容充电过程，用matlab语言实现(Capacitor charging process simulation using matlab language implementation)

迫零预编码算法 最小均方误差预编码算法 块对角化预编码算法 信号泄露噪声比预编码算法的误码率和系统容量的比较(Forced zero precoding algorithm of minimum mean square error (mse) precoding algorithm block diagonalization precoding algorithm signal leak noise than the precoding algorithm of bit error rate and system capacity)

H=CIRCLE(CENTER,RADIUS,NOP,STYLE) This routine draws a circle with center defined as a vector CENTER, radius as a scaler RADIS. NOP is the number of points on the circle. As to STYLE, use it the same way as you use the rountine PLOT. Since the handle of the object is returned, you use routine SET to get the best result.

人工鱼群算法的讲解说明算法matlab源程序，运算结果及改进(the lecture and matlab source code for Atificial Fish Swarm Algorithm,AFSA)

一个线性预测的matlab仿真程序，先用模型生成原始信号(平稳随机过程)，然后利用最小均方误差准则计算出预测系数，最后利用预测系数对原始信号进行预测(利用原始信号过去n个时刻的值预测当前时刻的值)。(This is a matlab program for linear prediction. First, we use all-pole model to generate a signal(stationary signal), then utilize the Minimum Mean-Square Error to compute the filter cofficient, at last we can use the filter cofficient to predict(use past n signal data to predict current signal data).)

不确定线性脉冲控制系统的程序，例子和程序都在压缩包里面。(Uncertain linear pulse control system procedures , examples and procedures are in the compressed packets inside .)

用FFT计算信号的功率谱密度时，需要先计算FFT，再计算双边谱密度，然后计算单边谱密度。在matlab里注意FFt要除以采样点数，计算双边谱时要注意除以频率分辨率。 ( When calculated using the FFT power spectrum density signal, you need to calculate the FFT, and then calculate the bilateral spectral density, and then calculate the unilateral spectral density. In matlab in Note FFt divided by sampling points should be noted when calculating the bilateral spectrum divided by the frequency resolution.)