-
1
说明： 汽车防抱死系统（以下简称ABS）对于缩短汽车的制动距离、增加汽车制动时的方向稳定性、减少汽车制动过程中的侧滑以及提高汽车制动时的安全性具有非常重要的意义。(Automotive anti-lock braking system (hereinafter referred to as ABS) to reduce the car' s braking distance, the increase in vehicle directional stability when braking, reduce vehicle skidding during braking and to improve the safety of vehicle braking is very important significance.)
- 2010-12-11 17:22:08下载
- 积分：1
-
myhallBLDC
说明： 直流无刷电机带霍尔传感器双闭环的MATLAB仿真，(MATLAB simulation of double closed-loop DC brushless motor)
- 2021-02-23 14:59:40下载
- 积分：1
-
msk1
基于Matlab的msk调制(Simulink文件）(Matlab based on the msk modulation (Simulink documentation))
- 2009-04-25 15:41:09下载
- 积分：1
-
white-gaussian-noise
说明： 用于产生高斯白噪声，以及给信号添加一个高斯白噪声的matlab源码，(Used to produce gaussian white noise add gaussian white noise to a signal of matlab source，)
- 2011-03-15 16:28:24下载
- 积分：1
-
showcontextmenu_v2
使用方法如下：
---------------------------------
hcmenu1= uicontextmenu
uimenu（hcmenu1,...)
uimenu（hcmenu1,...)
showcontextmenu（hObj，hcmenu1）
---------------------------------
尝试使用实例test_showcontextmenu.m。
这也包含了日常琐碎的一些功能：
getParentFigure（hObject）
％的投资回报hObject的父母图
getPositionOnFigure（hObject，单位）
％返回对象的绝对位置上的数字
getRelPosition（hObject，单位）
％的人能（hObject， 定位 ）与特定的 单位 (Use as follows:
---------------------------------
hcmenu1 = uicontextmenu
uimenu(hcmenu1,...)
uimenu(hcmenu1,...)
showcontextmenu(hObj,hcmenu1)
---------------------------------
Try test_showcontextmenu.m for usage example.
This also contains a number of trivial routine functions:
getParentFigure(hObject)
returns hObject s parent figure
getPositionOnFigure( hObject,units )
returns absolute position of object on a figure
getRelPosition( hObject,units )
get(hObject, Position ) with specific units )
- 2011-05-23 11:25:13下载
- 积分：1
-
bottom_up_segmentation
这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。
(This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)
- 2021-03-20 16:29:18下载
- 积分：1
-
matrixcomp
说明： 本压缩文件提供了matlab的时间序列工具箱，内有程序详细说明(the compressed files provided Matlab Toolbox time series, which detailed procedures)
- 2005-09-11 11:40:16下载
- 积分：1
-
location
介绍无源定位的方法，对于无源定位和误差分析极有帮助。(Introduced the method of passive location, location and error analysis for the passive extremely helpful.)
- 2010-05-25 20:41:06下载
- 积分：1
-
multiobject_context
image segmentation in multiobjects
- 2012-05-19 17:52:00下载
- 积分：1
-
matlab4
利用matlab进行五点三次法平滑处理(时域和频域)(Using matlab 5.3 times France smoothing process (time domain and frequency domain))
- 2013-09-15 10:46:29下载
- 积分：1
