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change-contrast-of-image
IMAGE_CONTRAST is a MATLAB function which carries out a simple contrast enhancement operation on an image.
Note that MATLAB s image processing toolbox includes a functions such as nlfilter which can do a more sophisticated treatment of images. But the purpose of this example is to demonstrate the process of image enhancement in a way that is clear enough to understand quickly.
- 2012-04-25 22:33:15下载
- 积分：1
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JIANGZUO
清华大学2013年针对稀疏表示的一个讲座，请的是稀疏表示的创始人。其中为讲座的讲义。(Tsinghua University in 2013 for the sparse representation of a lecture, please sparse representation is the founder. Where is the lecture handouts.)
- 2013-11-16 21:49:47下载
- 积分：1
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RBFNN
一个小的matlab程序利用RBFNN进行函数拟合(A small matlab program using RBFNN for function fitting)
- 2013-12-04 06:28:58下载
- 积分：1
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Multipath-Impulse-Response
提出了一种递归方法，用来计算当室内反射光源视为Lambertian光源时，室内自由空间信道的冲击响应。(A recursive method for evaluating the
impulse response of an indoor free-space optical channel with
Lambertian reflectors.)
- 2011-04-28 12:03:36下载
- 积分：1
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fuiyei
包括广义互相关函数GCC时延估计，本程序的性能已经超过其他算法，利用自然梯度算法。( Including the generalized cross-correlation function GCC time delay estimation, This program has exceeded the performance of other algorithms, Use of natural gradient algorithm.)
- 2016-08-26 15:07:27下载
- 积分：1
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myGA
这个源代码是关于基本遗传算法求解一维无约束优化问题的代码(This source code is on a one-dimensional basic genetic algorithm code for unconstrained optimization problems)
- 2014-12-11 14:20:01下载
- 积分：1
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CFAR
MATLAB的恒虚警处理的一种程序 基于高斯杂波分布下的(This is a matlab code.)
- 2012-03-03 23:35:05下载
- 积分：1
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chevshef
切比雪夫滤波器，可以很好的实现滤波功能。(Chebyshev filter, can achieve very good filtering.)
- 2008-12-22 14:03:41下载
- 积分：1
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Single_Carrier_FDMA(SC-FDMA)matlab
General Single_Carrier_FDMA(SC-FDMA)matlab simulation
- 2011-09-15 09:12:44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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