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psnr
数字水印的源码，很全。程序中用到的图也在里面。(Digital watermark source, it is full. Procedures which are used in Fig.)
- 2010-05-15 11:28:16下载
- 积分：1
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LMS-(2)
自适应盲均衡技术，用matlab实现，并画出了收敛曲线图(Adaptive blind equalization)
- 2015-06-05 11:12:23下载
- 积分：1
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code
说明： 双三次插值matlab代码，内含lena标准测试图像(Bicubic interpolation, with lena in zip)
- 2019-11-24 16:46:50下载
- 积分：1
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chuli
处理由采集卡采到的加速度传感器测得的信号，并分析其在0-1000Hz的频谱幅值并绘制频谱图(Processed by the acquisition card taken to the measured acceleration sensor signal, and to analyze the spectrum of the 0-1000Hz and draw the amplitude spectrum)
- 2013-07-31 15:58:17下载
- 积分：1
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mlclass-ex5
Regularized Linear Regrassion and Bias v.s. Variance
- 2013-12-25 08:35:17下载
- 积分：1
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boumao_v73
结合PCA的尺度不变特征变换(SIFT)算法，旋转机械二维全息谱计算的实用例程，进行波形数据分析。( Combined with PCA scale invariant feature transform (SIFT) algorithm, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Waveform data analysis.)
- 2016-12-19 08:23:21下载
- 积分：1
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AdaptAOA
matlab code for adaptive angle of arrival detection
- 2007-12-18 12:44:25下载
- 积分：1
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huijie
这个程序的作用是不全图形中的不完全的部分，是图形连续、光滑。(The role of this process is incomplete incomplete graphic part is a graphical continuous and smooth.)
- 2011-05-14 13:07:36下载
- 积分：1
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Elman
Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)
- 2015-03-26 22:36:26下载
- 积分：1
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3D
说明： Construction of 3D, a camera calibration
- 2011-12-01 16:46:18下载
- 积分：1
