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wf2
神经网络训练与相关算法的描述，含有自适应学习速度(Neural network training and related algorithms described with adaptive learning rate)
- 2010-12-11 08:25:28下载
- 积分：1
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sphit
基于嵌入式零树小波压缩算法的改进形式SPIHT算法(failed to translate)
- 2020-08-24 17:08:18下载
- 积分：1
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echocancellation
echo cancellation by using adaptive filter NLMS
- 2011-08-04 23:35:37下载
- 积分：1
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mimo_ofdm
MIMO——OFDM系统仿真，信道模型建立，信道容量计算，误比特率计算算法，信道自适应选择算法等，还有(MIMO- OFDM system simulation, channel modeling, channel capacity calculation, bit error rate calculation algorithm, adaptive channel selection algorithm, as well as)
- 2013-09-01 16:58:19下载
- 积分：1
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DCT
dct image steganography
- 2021-04-11 20:08:57下载
- 积分：1
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SecVibratPSO
二阶振荡粒子群算法，提高算法的全局收敛性(SecVibratPSO)
- 2010-09-02 16:17:14下载
- 积分：1
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simply
说明： 一个连接数据库的差别矩阵matlab源代码，我自己做的，希望对大家有帮助。(Connect to the database of the difference between a matrix matlab source code, I do want to help everyone.)
- 2010-03-18 16:07:07下载
- 积分：1
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matlab-svm-toolbox
说明： matlab中svm工具箱的使用方法~~~~~~~(svm toolbox in matlab to use)
- 2011-04-18 17:59:08下载
- 积分：1
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A_Software_Defined_GPS_and_Galileo_Receiver
Software-defined radios (SDRs) have been around for more than a decade. The
first complete Global Positioning System (GPS) implementation was described
by Dennis Akos in 1997. Since then several research groups have presented their
contributions.We therefore find it timely to publish an up-to-date text on the subject
and at the same time include Galileo, the forthcoming European satellitebased
navigation system. Both GPS and Galileo belong to the category of Global
Navigation Satellite Systems (GNSS).
- 2009-04-09 07:14:21下载
- 积分：1
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PsoProcess
粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line.
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- 2012-03-21 16:56:36下载
- 积分：1
