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Matlab
说明： matlab 做图讲义，介绍如何使用matlab自带的命令画一维，二维，三维图形。(matlab study sourse)
- 2009-08-15 16:46:05下载
- 积分：1
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GalileocodinginAWGN
说明： AWGN信道下高斯噪声干扰下GALILEO编码译码系统性能仿真，包括误码率仿真(AWGN channel Gaussian noise interference GALILEO codec simulation system performance, including bit error rate simulation)
- 2008-11-25 17:16:20下载
- 积分：1
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split-and-merge
segments image F by using a
split-and-merge approach based on quadtree decomposition. MINDIM
(a positive integer power of 2) specifies the minimum dimension
of the quadtree regions (subimages) allowed. If necessary, the
program pads the input image with zeros to the nearest square
size that is an integer power of 2. This guarantees that the
algorithm used in the quadtree decomposition will be able to
split the image down to blocks of size 1-by-1. The result is
cropped back to the original size of the input image.
- 2015-02-27 13:13:32下载
- 积分：1
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BPSK
滤波器高斯噪声信道模型和jake s信道模型下的加入卷积码的二进制相位调制(bpsk and convolution on the filtered gaussion noise channel model and jake s model)
- 2014-01-03 16:52:34下载
- 积分：1
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srplems
This function uses SRP-PHAT with Stochastic Region Contraction (SRC) global-optimization algorithm to locate a single source using a frame of data and M microphones.
- 2010-06-03 11:24:23下载
- 积分：1
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ga_chen
自己编写的ga（遗传算法）matlab工具箱。对比过，速度挺快的。(I have written ga (genetic algorithm) matlab toolbox. Been compared, the speed very fast.)
- 2011-05-03 11:03:13下载
- 积分：1
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tfa
自适应最优核时频分析程序及相关软件，可用于相关的时频分析(Adaptive Optimal Kernel Time-frequency analysis procedures and related software for the relevant time-frequency analysis)
- 2020-07-04 04:00:01下载
- 积分：1
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moni-modulation
非常详细的利用matlab对模拟信号的仿真，每一行程序具有详细说明，并能完美运行(Using matlab very detailed simulation of the analog signal, the program has a detailed description of each line, and the perfect run)
- 2012-09-11 11:17:27下载
- 积分：1
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Selective_fadingSNR
ITs snr calculation for selective fading channel
- 2011-05-19 14:59:11下载
- 积分：1
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pso
In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.
- 2011-08-03 23:15:36下载
- 积分：1
