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adaptive-rms
有源自适应噪声的最常用算法之一，该算法是另一个基于最小二乘准则的精确方法，它具有快速收敛和稳定的滤波器特性。(Active adaptive noise, one of the most commonly used algorithm, the algorithm is another accurate method of least squares criterion, it has fast convergence and stability of the filter characteristics.)
- 2013-03-20 20:28:17下载
- 积分：1
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right_single_SONAH_test
基于单点声源的最优统计算法仿真模拟确定声压幅值。(Based on the single point sound source statistical optimal algorithm simulation to determine the pressure magnitude.)
- 2011-12-23 11:19:50下载
- 积分：1
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Power-spectrum-estimation
功率谱估计
信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为 和 ，初始相位 ，取 ， 取不同数值：0.3，0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。(Power spectrum estimation signal into two sinusoidal signals applied Gaussian white noise, the SNR of each sinusoidal signal are 10dB, a length of N, respectively, and the signal frequency, initial phase, take, take different values: 0.3,0.25. Is the sampling frequency. Levinson recursive method were used and Burg method for power spectrum estimation, and change the length of the data analysis, the impact on the estimation model order spectrum.)
- 2015-03-23 10:48:42下载
- 积分：1
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Matlab
此为本人matlab学习笔记，从入门开始，手把手教你学会(the matlab self study)
- 2010-08-28 10:53:52下载
- 积分：1
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thresh_otsu
otsu的matlab程序，图像处理学中常用的操作，全局阈值图像二值化(Otsu MATLAB procedure, commonly used in image processing operations, global threshold image binarization)
- 2014-08-25 14:13:15下载
- 积分：1
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matlab-shixian
fastmap 算法MATLAB实现，检索速度超快(fastmap MATLAB algorithms achieve super-fast retri )
- 2015-03-21 19:44:14下载
- 积分：1
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1807.01622
说明： 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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FDM_FEM_thi_bt2
Example in comparision between FDM and FEM in 1D problem
- 2014-01-13 16:43:42下载
- 积分：1
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programme
有关最大比合并、等增益合并的增益性能及误码率的描述。(The maximal-ratio combining, equal gain combined gain of performance and bit error rate description.)
- 2009-12-15 19:43:23下载
- 积分：1
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KFalphabeta
kalman滤波算法与alpha-beta滤波算法的比较，通过比较，验证两种算法各自的优缺点。(Comparison, Kalman filtering algorithm and alpha-beta filtering algorithm by comparing the advantages and disadvantages of verification, two algorithms.
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- 2014-06-17 14:59:10下载
- 积分：1
