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Rscodes
- Simulate, by using c, a communication system consists of binary source, RS (7,3,5)/RS (128,122,7) encoder, BPSK modulator, AWGN channel, coherent demodulator, RS (7,3,5 )/RS (128,122,7) BM decoder and sink.
delta-modulation
- delta modulation with encoder and decoder
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
starter
- 基于深度学习的稀疏自编码器，对图像特征进行提取，然后分类-Extraction the encoder based on sparse feature depth study
AutoEncoder
- 最先提出深度学习算法hinton的自动编码器matlab代码，内容是：利用多层rbm进行自动编码的多层特征训练，然后使用梯度算法进行fine turn。可以进行特征提取，也可以进行分类。压缩包里已带有训练用签字图片数据。相应算法说明可以查看hinton于2006年发表在 science的文章-First proposed deep learning algorithm hinton automatic encoder matlab code that reads: multilayer r
Sparse-Autoencoder
- 神经网络稀疏自编码器的实现；从给定的很多张自然图片中截取出大小为8*8的小patches图片共10000张，现在需要用sparse autoencoder的方法训练出一个隐含层网络所学习到的特征。-Sparse neural networks since implementation of the encoder interception of a size of 8* 8 picture small patches given a lot of sheets natural picture
train_lowsae
- 以图像块作为输入信息训练自编码器的matlab程序-An matlab program for training an encoder an image block as input information
HW7-1
- 自编码器显示minst数据集中重构误差最大的十幅图片(Self-encoder shows ten images with the largest reconstruction error in the minst data set)
CAE
- 卷积自编码器，深度学习中的CAE，类似CNN，是深度学习的基本框架之一(Convolution self encoder, CAE in depth learning, similar to CNN, is one of the basic frameworks for deep learning.)
autoencoder
- 自编码的代码实现，运用在MNIST数据集上，打包文件。(auto encoder code implementation, using in MINIST data sets, packaging files.)
bch
- BCH码的matlab代码，包含编码与译码(BCH Encoder and Decoder)