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Zfenxi
离散系统Z域分析
实验步骤：
主界面下进入实验六的“离散系统Z域分析”，输入分子多项式的系数向量
按照 z 降幂的顺序输入，如：，输入为。
输入分母多项式的系数向量，按照 z 降幂的顺序输入。
鼠标单击确定按钮，显示系统函数的幅频特性曲线，相频特性曲线。(Z-domain analysis of discrete-time systems experimental steps: the main interface into the six experiments the " Z-domain analysis of discrete-time systems" , enter the coefficient of polynomial vector elements z in accordance with the descending order of power input, such as:, input. Denominator polynomial coefficients input vector, z in accordance with the order of descending input power. Mouse click OK button, and display system function curve of amplitude-frequency characteristics, phase-frequency characteristic curve.)
- 2009-05-01 20:37:37下载
- 积分：1
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yuanbaozidongjinchengxu
元胞自动机：森林火灾模型程序代码及其讲解，好好看看哦，加油(Cellular automata: the model code of forest fires and their explanations, a good look, oh, come on)
- 2013-03-15 11:40:03下载
- 积分：1
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matlab-chepia-tiju
基于matlab的车牌的提取，包括车牌灰度处理，边缘检测，腐蚀，车牌定位及提取(Matlab license plate extraction, including the license plate gray processing, edge detection, corrosion, license plate location and extraction)
- 2013-01-10 13:02:29下载
- 积分：1
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Array-Signal-Processing
本书主要研究波束形成，波达方向估计，阵列多参数估计及其应用等。(This book studies beamforming, direction of arrival estimation, parameter estimation and multi-array applications.)
- 2015-03-04 11:27:18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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OFDM_SNR_offset
模拟OFDM系统，根据不同的信噪比，测试误码率(Simulated OFDM system, according to different signal to noise ratio, bit error rate test)
- 2010-08-13 12:36:00下载
- 积分：1
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pct-demo
gpu tutorial pct demo tor matlab use and for matlab optimization tool for research student of the state of israel the best in the world
- 2012-09-02 20:42:41下载
- 积分：1
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code
设计一个信号发生器,并同时画出信号的时域表
示，自相关函数及功率谱(Design of a signal generator and simultaneously draw the time domain representation of the signal, the autocorrelation function and the power spectrum)
- 2013-10-16 21:24:32下载
- 积分：1
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OnlineCalculatorServer
A Simple Integer Overflow Example
- 2014-12-31 14:39:50下载
- 积分：1
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spea2_matlab_code
spea2多目标进化算法对两个目标的多目标优化问题的测试(spea2 multi-objective evolutionary algorithm on the two goals of testing multi-objective optimization problem)
- 2010-08-02 10:27:44下载
- 积分：1
