-
double_RAM
在modolsim平台下仿真完成了一个双端口RAM的实现，希望有用。(Simulation platform in modolsim completed a dual-port RAM realize the hope that useful.)
- 2007-09-30 12:58:49下载
- 积分：1
-
templatematching
Template matching code using cross co relation technique
- 2009-04-25 15:50:45下载
- 积分：1
-
ARMcad2mat
本内容为，三维模型直接导入matlab中，可以方便的运行，可以更观的体现模型的真实性(This content is, three-dimensional model directly into matlab, you can easily run, you can view more manifestation of the authenticity of the model)
- 2013-09-30 11:13:40下载
- 积分：1
-
4G-MIMO-OFDM-Research
该文档详细介绍了4G LTE下的MIMO OFDM的工作原理(very good document for get knowledge of 4G MIMO OFDM)
- 2013-12-04 13:59:11下载
- 积分：1
-
q2d
Two-dimensional Gaussian Q-function.
- 2013-09-20 18:24:36下载
- 积分：1
-
Adaptive-Digital-Filters
The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.
- 2013-11-23 12:32:06下载
- 积分：1
-
D_star_PathPlanning-master
说明： 近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。
多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence.
The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)
- 2021-04-17 17:50:13下载
- 积分：1
-
tulun-Prim_Dijkstra
matlab实现图论中的Prim算法,Dijkstra算法,注释清晰，另外附有报告。(matlab realize Prim algorithm of graph theory, Dijkstra algorithm, clear notes and reports.)
- 2013-10-04 09:41:47下载
- 积分：1
-
zhangzhengyou
相机坐标变换标定矩阵的张正友算法，用于标定相机图像坐标与世界坐标的关系(Coordinate transformation matrix camera Zhengyou calibration algorithm used to calibrate the camera image coordinates and world coordinates relations)
- 2014-01-02 17:40:16下载
- 积分：1
-
Designofdam
利用Matlab来设计计算土石坝的浸润线等(Matlab to design calculation of embankment dams saturation line)
- 2021-04-21 11:38:49下载
- 积分：1
