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7
说明： 本程序是数制转换问题，为十进制数字和罗马数值间的相互转化，本程序用的是函数调用法(This program is the number of system conversion problems, in order to decimal numbers and value of the inter-conversion of Rome, this program using a function call method)
- 2009-12-27 21:35:22下载
- 积分：1
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SPIHT_matlab_code
MATLAB implementation of SPIHT (without Arithmatic coding stage).
％ Performance evaluation : this toolbox VS. SPIHT
％ Test image: lena512.raw
％ bpp SPIHT(dB) This code(dB)
％ 0.1000 29.8107 29.3202
％ 0.2000 32.7202 32.2514
％ 0.3000 34.5479 34.0331
％ 0.4000 35.8422 35.4857
％ 0.5000 36.8623 36.5939
％ 0.6000 37.6650 37.3759
％ 0.7000 38.2581 38.0491
％ 0.8000 38.9390 38.7058
％ 0.9000 39.5218 39.3437
(MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)
- 2007-05-04 00:30:12下载
- 积分：1
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BP-NN
通过遗传算法对神经网络的结构进行优化,避免参数选取的盲目性(Through genetic algorithms to optimize the structure of neural networks, to avoid the blindness of parameter selection)
- 2013-08-15 12:33:04下载
- 积分：1
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SMC_I
A simple nonlinear system is described within the Simulink environment.For control purposes, a sliding mode controller is designed in order to regulate the system to the origin. Furthermore, the chattering reduction has also been addressed with the introduction of tanh function.
- 2014-11-28 15:17:06下载
- 积分：1
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1807.01622
深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)
- 2020-06-23 22:20:02下载
- 积分：1
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DCTIRISS
Irisi recognition using DCT
- 2012-05-25 01:14:57下载
- 积分：1
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speech_voice
用matlab实现语音合成，并修改基频、lpc、lsp参数，使合成质量有所提高(Using matlab speech synthesis, and modify the baseband, lpc, lsp parameters, the quality has improved synthesis)
- 2013-09-04 19:09:04下载
- 积分：1
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Introduction.to.Simulink.with.Engineering
Introduction to Simulink with Engineering Applications 2nd Edition Mar 2008
- 2012-02-06 23:44:52下载
- 积分：1
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传递熵Matlab
这个只是一个计算马尔科夫系统传递熵的matlab，函数希望大家能把他用到高维中，并分享(This is just a calculation of Markov system transfer entropy MATLAB, function, I hope we can use it to high dimension, and share)
- 2017-08-08 14:38:21下载
- 积分：1
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2-4@
this is the code written for baysian classifier that contains lda,pca, normalization
- 2011-06-13 15:31:12下载
- 积分：1
