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simple_turbo_codec
simple turbo codec in matlab
- 2010-11-03 22:36:37下载
- 积分：1
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1
说明： 比例导引法的MATLAB，程序，希望大家多侃侃(matlab)
- 2009-08-12 14:24:56下载
- 积分：1
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hua_fft
hua fft可以同时计算频谱和功率谱，同时生成图像(hua fft can calculate the spectrum and power spectrum, while generating image)
- 2015-02-16 18:38:32下载
- 积分：1
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eight-puzzle
. The 8-puzzle problem is a puzzle invented and popularized by Noyes Palmer Chapman in the 1870s. It is played on a 3-by-3 grid with 8 square blocks labeled 1 through 8 and a blank square. Your goal is to rearrange the blocks so that they are in order. You are permitted to slide blocks horizontally or vertically into the blank square. The following shows a sequence of legal moves from an initial board position (left) to the goal position (right).
- 2013-12-30 00:21:37下载
- 积分：1
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Notch_Filter
an implementation of Notch_Filter in matlab for image processing
- 2009-03-20 14:41:34下载
- 积分：1
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tongbu
说明： 程序中 时间结点错开了一个位子；
（2）没有注意保存中间结果，程序画出的只是之后一个小时间段结果。(Staggered in time node program a seat (2) lack of attention to hold intermediate results, the program just to draw a small period of time after the results.)
- 2011-03-30 16:41:54下载
- 积分：1
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TSP.matlab
基于遗传算法解决TSP问题，matlab，可以实现(Based on the genetic algorithm to solve TSP problem)
- 2014-12-14 17:15:25下载
- 积分：1
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ypap114-data-envelopment-analysis
DEA solver for windows 10 in matlab1
- 2020-06-20 15:20:02下载
- 积分：1
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hurricane
说明： SHP格式的飓风数据
SHP格式的飓风数据
SHP格式的飓风数据
SHP格式的飓风数据(SHP SHP format data format of Hurricane Katrina data in SHP format Hurricane Katrina data in SHP format data)
- 2010-04-03 14:16:09下载
- 积分：1
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perceptron
感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则
找到给定的二分类标签数据超平面。
(PERCEPTRON Perceptron algorithm to train binary linear classifier.
Synopsis:
model = perceptron(data)
model = perceptron(data,options)
model = perceptron(data,options,init_model)
Description:
model = perceptron(data) uses the Perceptron learning rule
to find separating hyperplane from given binary labeled data.
model = perceptron(data,options) specifies stopping condition of
the algorithm in structure options:
.tmax [1x1]... maximal number of iterations.
If tmax==-1 then it only returns index (model.last_update)
of data vector which should be used by the algorithm for updating
the linear rule in the next iteration.
model = perceptron(data,options,init_model) specifies initial model
which must contain:
.W [dim x 1] ... normal vector.
.b [1x1] ... bias of hyperplane.
.t [1x1] (optional) ... iteration number.
Input:
data [struct] Labeled (binary) training data.
.X [dim x num)
- 2011-05-01 18:19:52下载
- 积分：1
