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实用化工计算机模拟：MATLAB在化学工程中的应用 附录光盘程序(Computer Simulation of practical chemical procedures Appendix CD)
- 2009-05-11 09:02:23下载
- 积分：1
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Discrete-time
自行设计产生两个离散序列信号，对其进行相加、乘及卷积运算。
利用filter命令求下面LTI系统的冲激响应，画出系统的零极点图，判断系统的稳定性、因果性。
绘出系统的频响曲线
(To design of two discrete sequence of signals , their sum , multiplication and convolution .
Seeking the following LTI system impulse response filter command , draw system pole-zero diagram to determine the stability of the system , causality .
Mapping the frequency response curve
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- 2012-05-01 22:50:17下载
- 积分：1
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fcm-code-for-image-segmentation
This is the image segmentation code. It uses built in fuction fcm to perform the image segmentation. It partition the images into seven clusters.
- 2015-03-21 02:34:45下载
- 积分：1
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Image-registration
这个主要是一些图像配准的实例，为后续的图像融合做准备。(This is mainly because some instances of image registration to prepare for the subsequent image fusion.)
- 2013-05-14 17:30:59下载
- 积分：1
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FRFCM
说明： FRFCM图像分割算法，FCM图像分割算法的一种改进分割算法(Frfcm image segmentation algorithm)
- 2021-04-18 16:15:40下载
- 积分：1
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shuzi
基带信号周期采样的分析与仿真设计低通信号，对该信号进行周期采样，最后从采样数据中恢复原始信号；改变采样频率，给出相应的仿真结果；考察前端抗混叠滤波器的作用和必要性；分析后端理想恢复滤波器是否唯一。(
Periodic sampling of the baseband signal analysis and simulation to design low pass signal, the signal is periodic sampling, finally recover the original signal from the sampled data changing the sampling frequency, gives the corresponding simulation results examine the front of the role of anti-aliasing filter and necessity analysis backend ideal restoration filter is unique.)
- 2013-11-23 15:46:45下载
- 积分：1
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bch
Simulink实现数字通信系统BCH码信道编码分析(BCH code channel coding analysis Simulink digital communication system)
- 2016-06-12 22:04:30下载
- 积分：1
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最速下降法
说明： 最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)
- 2019-11-24 13:06:03下载
- 积分：1
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6
说明： 继续上次传的简单遗传算法，本次加入啦测试部分。(Continue to the last mass of the simple genetic algorithm, to join you in this part of the test.)
- 2009-04-22 00:18:59下载
- 积分：1
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hspice_matlab
hspice toolbox with matlab.
- 2008-07-16 00:26:50下载
- 积分：1
