-
(golden-section)
Golden section search method m-file
- 2011-02-08 13:17:50下载
- 积分：1
-
dongtaiguihuanixusuanfa
运用matlab实习动态规划中的逆序算法的例题及matlab程序，对程序也有很详细的解析说明(To use matlab internship Reverse Algorithm of dynamic programming examples and matlab program, the program is also detailed analysis)
- 2012-11-07 16:38:40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
-
LMS与NLMS滤波
说明： 最小均方自适应滤波算法（LMS）与归一化最小均方自适应滤波算法（NLMS）的对比(Comparison of Least Mean Square Adaptive Filtering Algorithm (LMS) and Normalized Least Mean Square Adaptive Filtering Algorithm (NLMS))
- 2019-12-22 17:45:26下载
- 积分：1
-
FM_M
仿真了FM信号产生和调制的过程，方法简单，内容详尽，已经过调试。(Simulation of the FM signal and modulation process, the method is simple, detailed, has been testing.)
- 2013-12-12 00:17:31下载
- 积分：1
-
new
how bit loading is done by the help of SNR
- 2013-08-06 18:53:13下载
- 积分：1
-
H_Bridge_DC_PWM_Converter
H桥DC-DCPWM变换器matlab simulink仿真模型(The H bridge the DC-DCPWM converter matlab simulink simulation model)
- 2013-04-16 18:26:46下载
- 积分：1
-
COFDM
COFDM diseñ o y simulacion
- 2010-06-16 03:37:51下载
- 积分：1
-
radonLikeFeaturesDemo
该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。
请举出下列文件如果您发现此代码有用：
Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法
http://seas.harvard.edu/〜 rkkumar
radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能，
getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器
makeBarFilters.m：助手为高斯函数的二阶导数滤波器
sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images.
Please cite the following paper if you find this code useful:
Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010
http://seas.harvard.edu/~rkkumar
radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features
getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters
makeBarFilters.m : Helper function for Gaussian Second Derivative Filters
sample.png : Sample image for use in this demo
)
- 2010-07-05 12:09:03下载
- 积分：1
-
chap2
PID控制程序，matlab编写，适合初学者（2）(PID control procedures, matlab prepared for beginners (2))
- 2008-05-16 21:06:10下载
- 积分：1
