搜索资源列表
ADC
- The code and proteus simulation demonstrate the use of an external ADC getting 3 analog inputs from 2 LM35 sensors and voltage from a potentiometer. these inputs are multiplexed to show on an LCD display.
Discrete-time Bilinear System
- 该程序是有关离散双线性系统的。用来求取状态转移的控制输入(The program is concerned with discrete bilinear systems. Control inputs used to obtain state transitions)
lab03
- use inputs from the user the radius and the height of a cylinder double and prints the cylinders surface area and volume
lab04
- user inputs an integer consisting of FIVE digits from the user, separate the input integer into its individual digits and prints the digits separated from one another by three spaces each
p_3_5_with_Output
- This file contains the inputs and outputs of a sharpened image (in .mat form and jpg form for original image).
Morphology
- Morphological transformations are some simple operations based on the image shape. It is normally performed on binary images. It needs two inputs, one is our original image, second one is called structuring element or kernel which decides the nature
Final_Model
- 基于AGV小车运行时的路线仿真软件，在不相撞情况下考虑投入数量(Based on AGV car running route simulation software, consider the number of inputs in the case of no collision)
DIY数字电桥V3.0
- 液晶电压表\ADC0809.asm 液晶电压表\0809.plg 液晶电压表\ADC0808.PWI 液晶电压表\液晶_Uv2.Bak 液晶电压表\STARTUP.A51 液晶电压表\液晶.plg 液晶电压表\STARTUP.LST 液晶电压表\ADC0809.LST 液晶电压表\液晶.lnp 液晶电压表\液晶.M51 液晶电压表\液晶.hex(Figure 3. Timing diagram 10, 16Phase This TTL-compatible
Hants
- 谐波分析matlab程序，可直接应用，也调整后应用，比如添加真值约束等(Inputs: ts = ts(i)= i, where i=1, ..., ni HiLo = 2-character string indicating rejection of high or low outliers low = valid range minimum high = valid range maximum (values outside
hopf_oscillator_with_drive
- 自适应频率振荡器，自动学习外部输入的频率。(An adaptive frequency oscillator that automatically learns the frequency of external inputs.)
deocde
- 产生一个按键按下对应的信号，加入一定的高斯白噪声，并解码检测出来。设计GUI界面模拟按键界面。(GUI MATLAB code for gui.fig % GUI, by itself, creates a new GUI or raises the existing % singleton*. % % H = GUI returns the handle to a new GUI or the handle to % the existing
boundary_conditions
- emd算法中的边界条件函数 %BOUNDARY_CONDITIONS_EMD extends an extrema set to limit edge effects on the interpolations(% [TMIN,TMAX,ZMIN,ZMAX] = BOUNDARY_CONDITIONS_EMD(INDMIN,INDMAX,T,X,Z,NBSYM) % % inputs: % - INDMIN, INDMAX: indices of minima and maxima
liv_pack_born2001
- Neurons at progressively higher levels of the visual in which the direction selectivity in MT neurons could system have progressively larger, more complicated arise. It could be generated de novo from nondirectional receptive fields, presumably const
卡尔曼作业第三次-史子纬
- 这种理论是在时间域上来表述的，基本的概念是：在线性系统的状态空间表示基础上，从输出和输入观测数据求系统状态的最优估计。这里所说的系统状态，是总结系统所有过去的输入和扰动对系统的作用的最小参数的集合，知道了系统的状态就能够与未来的输入与系统的扰动一起确定系统的整个行为。(This theory is expressed in the time domain. The basic concept is: on the basis of the state space representation o
lag
- lagrange 插值,原理请参考多项式插值，随便一本数值分析都有说明(Lagrange interp,make sure that the inputs of x and y have the same length;if you want more details,go to find a mathematical book)
3D-VIew
- 一个简单的gui例子，This example GUI has 3-D axes in which the Earth spins on its axis. It accepts no inputs, but it reads a matrix of topographic elevations for the whole Earth.(This example GUI has 3-D axes in which the Earth spins on its axis. It accepts n
Transfer_ANSYS_Grid_to_FLAC3D
- 1) You have to generate a free mesh is generated with Ansys 2) GENERATE INPUTS FROM ANSYS a. From Ansys a list of nodes (file nlist.lis)has to be generated, id and position x,y z b. From Ansys a list of elements (file elist.lis) has to be gene
ass1_p1
- problem to calculate some formula between two inputs that entered from the user
Monte Carlo Simulation
- Monte Carlo Simulation for Photon Migration Inside Biological Tissue(To run Monte Carlo simulation, only the main function need to be called. But if you are not familiar with the data struction of the inputs for MC, you can run InitializeInput to c
bp.matlab
- 是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络。(In machine learning and science,artificial neural networks are a family of statistical learning models inspired by biological neural networks and are use to estimate or opproximate functions that can depend on