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Untitled
说明: 计算Rossler吸引子的Lyapunov指数(Calculating Lyapunov index Rossler attractor)
- 2010-04-09 10:50:10下载
- 积分:1
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radar-system-analysis-using-matlab
Radar Systems Analysis and Design Using MATLAB
by Bassem R. Mahafza
Chapter 1
Radar Fundamentals
1.1. Radar Classifications
1.2. Range
MATLAB Function “pulse_train.m”
1.3. Range Resolution
MATLAB Function “range_resolution.m”
1.4. Doppler Frequency
MATLAB Function “doppler_freq.m”
1.5. Coherence
1.6. The Radar Equation
MATLAB Function “radar_eq.m”
1.6.1. Low PRF Radar Equation
MATLAB Function “lprf_req.m”
1.6.2. High PRF Radar Equation
MATLAB Function “hprf_req.m”
1.6.3. Surveillance Radar Equation
MATLAB Function “power_aperture_eq.m”
1.6.4. Radar Equation with Jamming
Self-Screening Jammers (SSJ)
MATLAB Program “ssj_req.m”
Stand-Off Jammers (SOJ)
MATLAB Program “soj_req.m”
Range Reduction Factor
MATLAB Function “range_red_fac.m”
- 2012-05-17 06:02:51下载
- 积分:1
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demospp
in this program I have simulated SPP method for iris data.
- 2012-05-27 17:46:17下载
- 积分:1
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Matlab-canny-aroua
matlab implementation of a function that calculate canny edge
- 2013-11-13 16:19:22下载
- 积分:1
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hs
说明: 设计仿真信号,并进行仿真信号的边际谱分析(Hilbert Spectrum)
- 2013-12-27 09:41:04下载
- 积分:1
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CHAPTER2
先进PID控制及MATLAB仿真程序,第er章的经过运行,全都成功(Advanced PID control and MATLAB simulation program, the first chapter after running er, all successfully)
- 2010-12-18 14:45:52下载
- 积分:1
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wmk_2d
说明: 在二维 RGB 图像中嵌入水印,其中图像的大小和水印图像的大小可以不一致(2D RGB images embedded watermark, which images the size and the size of the watermark image can be inconsistent)
- 2006-05-16 18:08:10下载
- 积分:1
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yicuansuanfa-(2)
遗传算法,能很好解决一系列不定向性问题效果很好(Genetic algorithm can solve a series of uncertain sexual problems very good results)
- 2011-05-02 00:01:22下载
- 积分:1
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xiaojiaodumusic
对不理想环境下信号MUSIC算法在小角度时的分辨能力进行仿真。(The signal is not an ideal environment on the MUSIC algorithm in the resolving power of a small angle to simulate.)
- 2011-05-14 18:41:45下载
- 积分:1
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ConvolveByRiemannSum
ConvolveByRiemannSum assumes that x(t) and h(t) have finite support,
and that the user provides samples of these functions in two vectors,
x and h. These vectors contain samples of x, sampled at time points
given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled
at time points in vector th = th_min:Delta_t:th_max, respectively.
The functions x and h are assumed to be zero outside tx_min and tx_max
and outside th_min and th_max, respectively.
Note that while tx_min, tx_max, th_min, and th_max may differ, the time
sample vectors must share the same time-interval, Delta_t.
- 2012-01-19 02:50:08下载
- 积分:1