-
Iris2
matlab写的自己设计的自适应网络做iris聚类分析并分类的实验，算法不是很稳定，有一定参考价值(matlab write ,adaptive cluster analysis and classification of iris experiment, the algorithm is not very stable and have a certain reference value)
- 2009-05-08 10:31:26下载
- 积分：1
-
mutual_main3
混沌分析中互信息求延迟时间t的matlab程序，可以使用(chaos)
- 2009-05-15 22:03:58下载
- 积分：1
-
punture
1/2删除卷积码（3/4速率）的编码和译码，亲测可用(1/2 convolutional code to delete (3/4 rate) encoding and decoding, the pro-test available)
- 2021-04-06 22:29:02下载
- 积分：1
-
ARMA
ARMA时间序列模型预测风电场风功率大小，matlab源代码特例分析(ARMA time series models to predict the size of wind farm wind power, matlab source code for exception analysi)
- 2021-04-28 22:58:44下载
- 积分：1
-
MATLAB_GUI
说明： 一份初学MATLAB_gui者比较好的实例代码；来自《精通MATLAB GUI》，其中例子丰富实用，程序代码丰富。(A novice compared MATLAB_gui good examples of code from " proficient in MATLAB GUI" , in which the rich examples of practical, code-rich.)
- 2009-07-27 08:16:58下载
- 积分：1
-
Array-signal-processing
本论文的工作是对近场圆形阵列宽带信号进行处理，获得目标/焦点位置增益输出，
预先定义宽带信号阻带的旁瓣衰减大小以及感兴趣频域内的恒定波束宽带模式。本文使
用不同的方法解决这个设计问题，该问题分为两部分，第一部分解决频域内的模型设计，
第二部分给出时域内的结果。仿真结果表明解决方法的有效性。
(This thesis work is a circular array of broadband near-field signal is processed to obtain the target/focus position gain output,
Pre-defined stopband sidelobe wideband signal attenuation constant beam size and frequency domain of interest wideband mode. This paper makes
To solve this problem in different ways design, the problem is divided into two parts, the first part of the solution in the frequency domain model design,
The second part gives the result in the time domain. The simulation results show the effectiveness of the solution.)
- 2014-09-11 16:23:19下载
- 积分：1
-
naca0012
说明： 有限体积法,通过有限体积法求解naca0012流场，通过有限体积法求解naca0012流场(finite volume method)
- 2020-09-07 19:25:39下载
- 积分：1
-
MATLAB
魏巍的《MATLAB程序设计教程》电子教案，很全的啊(Wei Wei' s " MATLAB Programming Guide" e-lesson plans, it is full of ah)
- 2009-05-21 13:57:40下载
- 积分：1
-
ViBe_Matlab
在matlab上用VIBE算法完成视频前景提取(Using VIBE algorithm to complete video foreground extraction on MATLAB)
- 2017-09-17 21:26:39下载
- 积分：1
-
DCT_IDCT
to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expression
for M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the execution
now compare our special 8X8 functions with the internal general functions
use this code:
A = int32(100*rand(8,8))
tic for i = 1 : 1000 IDCT_8X8(DCT_8X8(A)) end toc
tic for i = 1 : 1000 idct2(dct2(A)) end toc
i had built the general functions too, but with low speed (to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expressionfor M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the executionnow compare our special 8X8 functions with the internal general functionsuse this code: A = int32 (100* rand (8,8)) tic for i = 1: 1000 IDCT_8X8 (DCT_8X8 (A)) end toc tic for i = 1: 1000 idct2 (dct2 (A)) end toc i had built the general functions too, but with low speed)
- 2007-12-05 18:28:42下载
- 积分：1
