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peakfinder
to find peak in histogram
- 2010-09-18 17:25:09下载
- 积分：1
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huiseyuce
针对灰色预测的良好算法，这里边对灰色预测的整个过程进行了matlab的求解，全面可靠。(For the good gray prediction algorithm, where the edge of the whole process of the gray forecast matlab solving, comprehensive and reliable.)
- 2012-08-31 16:46:14下载
- 积分：1
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band-pass-filter-by-remez-function
用MATLAB中remez函数设计一带通FIR滤波器。打印出单位脉冲响应 ，并画出幅频响应。(Design using MATLAB function in the vicinity of remez pass FIR filter. Print out the unit impulse response and frequency response plot.)
- 2012-01-29 15:50:11下载
- 积分：1
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makeLdpc
LDPC编码算法,
Create R = 1/2 low density parity check matrix
M : Number of row
N : Number of column
method : Method for distributing non-zero element
{0} Evencol : For each column, place 1s uniformly at random
{1} Evenboth: For each column and row, place 1s uniformly at random
noCyle : Length-4 cycle
{0} Ignore (do nothing)
{1} Eliminate
onePerCol: Number of ones per column
H : Low density parity check matrix(LDPC_code source
Create R = 1/2 low density parity check matrix
M : Number of row
N : Number of column
method : Method for distributing non-zero element
{0} Evencol : For each column, place 1s uniformly at random
{1} Evenboth: For each column and row, place 1s uniformly at random
noCyle : Length-4 cycle
{0} Ignore (do nothing)
{1} Eliminate
onePerCol: Number of ones per column
H : Low density parity check matrix)
- 2009-12-03 11:13:42下载
- 积分：1
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perl001
perl program guide ch1
- 2007-03-27 22:14:45下载
- 积分：1
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euler-and-improved-euler
code for improved Euler method by using MATLAB program
- 2014-02-04 04:24:52下载
- 积分：1
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car-following
Modified coupled map car-following model and
its delayed feedback control scheme
- 2013-10-01 04:17:01下载
- 积分：1
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Doppler
一种MIMO体制天波雷达多普勒扩展杂波抑制方法(Doppler radar system for MIMO-day extension clutter suppression method)
- 2013-12-09 16:39:41下载
- 积分：1
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VSMexample
一个VSM分类器的具体例程，包含数据文件，调试通过。(VSM classifier a specific routines, including data files, debugging through.)
- 2013-12-12 11:42:20下载
- 积分：1
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ypea122-spea2
说明： 遗传算法 多目标优化算法，SPEA2
主要流程：1：首先初始化一个archive的集合P1，以及一个常用的population的集合P。设置P1的大小是N1，P的大小是N。初始的时候P1是空的，而P是已经初始化好的种群个体。
2：对P1进行评价，选出来里面的pareto front为1（下面用PF1来代替了）的个体，copy到P1中，如果PF1的数量大于N1的话，这个接下来再说，目前假定PF1的数量小于N1。(Genetic algorithm, multi-objective optimization algorithm, SPEA2
Main process: 1: first, initialize a set P1 of archive and a set P of popular. Set P1 to N1 and P to n. At the beginning, P1 is empty, and P is the initialized population.
2: Evaluate P1, select the individual whose Pareto front is 1 (Pf1 is used to replace it below), copy to P1, if the number of Pf1 is greater than N1, then let's talk about it. At present, it is assumed that the number of Pf1 is less than N1.)
- 2021-03-01 14:59:00下载
- 积分：1
