-
matlab_2_code
matlab 数值分析 书中代码详解 齐全 例题和答案都有(Detailed numerical analysis book matlab code examples and answers have complete)
- 2015-03-25 20:07:27下载
- 积分：1
-
base-GSO
自己调试的GSO程序，简单可运行，适合初学者参考。(The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used for this algorithm is the apparent capability of the glowworms to change the intensity of the luciferin emission and thus appear to glow at different intensities.)
- 2013-12-17 11:15:33下载
- 积分：1
-
Adaptive_noise_cancellation_in_the_power_of_signal
自适应噪声对消在微弱电力信号检测中的应用可以检测到很微弱的信号保护电力线进行了MATLAB仿真(Adaptive noise cancellation in the weak electrical signal detection application can detect very weak signals to protect the power lines of the MATLAB simulation)
- 2009-12-19 18:16:29下载
- 积分：1
-
cekfslam.tar
在悉尼大学EKF-SLAM仿真平台的基础上开发，使用Compressed Extended Kalman Filter解决SLAM问题，最初由Jose Guivant and Eduardo Net提出，程序由Haiqiang Zhang和Lihua Dou实现 (CEKF-SLAM is a Compressed Extended Kalman Filter-based SLAM simulator written under Matlab. )
- 2011-08-14 12:01:21下载
- 积分：1
-
HW1
system controllable canonical form
- 2011-10-06 11:36:51下载
- 积分：1
-
laikei
各种资源分配算法实现，合成孔径雷达（SAR)目标成像仿真，用MATLAB编写的遗传算法路径规划。( Various resource allocation algorithm, Synthetic Aperture Radar (SAR) imaging simulation target, Genetic algorithms using MATLAB path planning.)
- 2017-01-19 12:01:37下载
- 积分：1
-
GA_sin2x_sinx
Genetic Algorithms - Optimization and Example
- 2010-11-03 22:50:43下载
- 积分：1
-
tryrepeat16qam
盲检测中，在AWGN信道环境和瑞利衰落环境下，产生16qam信号，并且计算高阶累积量和高阶矩(Blind detection in AWGN channel environment and Rayleigh fading environment, generate 16qam signal and calculate higher-order cumulants and higher moments)
- 2015-01-14 17:08:00下载
- 积分：1
-
ceshi
基于Matlab的CDMA通信系统下行信道的仿真_张兵(CDMA communication system simulation
)
- 2015-04-08 09:12:56下载
- 积分：1
-
kalman-filter-simulation-tools
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)
- 2007-05-24 21:18:33下载
- 积分：1
