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4
说明: its about wireless sensor network
- 2011-01-07 20:13:50下载
- 积分:1
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loclization-code
enhanced mapping algorith for loclaization and mapping problem
- 2013-07-28 06:14:49下载
- 积分:1
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matlab
matlab数字信号处理实例;MATLAB下的数字信号处理实现示例(matlab digital signal processing examples MATLAB under the sample implementation of digital signal processing)
- 2013-10-27 16:20:00下载
- 积分:1
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ber512
Turbo码的编、译码算法对误码率的影响(Effect of Encoding and Decoding Algorithm of Turbo codes bit error rate)
- 2017-01-02 19:25:47下载
- 积分:1
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three_level_inverter2
单相三电平逆变器 MATLAB 仿真研究,已通过调试,基本可用。(Single-phase three-level inverter MATLAB simulation, has passed the testing, the basic available.)
- 2011-05-25 23:07:51下载
- 积分:1
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apes
阵列信号处理中波束形成技术的apes算法matlab程序(The matlab code for apes algorthim of beamforming technique of array signal processing)
- 2012-07-09 14:45:37下载
- 积分:1
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matlab-image-processing
MATLAB数字图像处理书籍\matlab图像处理操作程序(matlab image processing procedures)
- 2014-10-24 18:06:48下载
- 积分:1
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Fast-K-means-clustering
Fast mex K-means clustering algorithm with possibility of K-mean++ initialization
(mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael)
- Accept single/double precision input
- Support of BLAS/OpenMP for multi-core computation
Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one)
Run demo "test_yael_kmeans.m"(Fast mex K-means clustering algorithm with possibility of K-mean++ initialization
(mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael)
- Accept single/double precision input
- Support of BLAS/OpenMP for multi-core computation
Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex-setup have been done at least one)
Run demo "test_yael_kmeans.m")
- 2012-09-07 23:58:04下载
- 积分:1
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QAM_64
64QAM调制MATLAB代码,其中QAM_64为主程序(MATLAB code of 64QAM modulation)
- 2015-03-10 23:24:13下载
- 积分:1
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第11章 整数规划
说明: 非线性最小二乘优化问题以误差的平方和最小为准则来估计非线性静态模型参数的一种参数估计方法。设非线性系统的模型为y=f(x,θ),常用于传感器参数设定。(64/5000
A parameter estimation method based on the minimum sum of squares of errors. Suppose that the model of the nonlinear system is y=f(x,), which is commonly used for sensor parameter setting.)
- 2019-01-06 20:10:45下载
- 积分:1