搜索资源列表
juanjima
- 对输入随机数字信号进行卷积纠错编码后，送入含噪信道，在接收端再进行解码和检纠错，改变信道误码率大小，测试接收信号与发送信号之间的误码率，分析该种纠错编码系统的抗噪声性能。-After random input digital signal convolution error correction coding into the noisy channel, at the receiving end and then decode detection and correction, changin
trellis_coded_modulation_tcm8psk
- 网格编码调制tcm8psk 卷积码与8PSK调制的联合处理程序-Trellis coded modulation code with convolutional code and 8psk modulation
LTE_PUSCH
- 该文件夹中包含LTE PUSCH上行链路中几个重要模块的C代码，包括了CRC添加、CRC校验、Turbo编码、Turbo译码、咬尾卷积码编码和咬尾卷积码译码6个模块。-This folder contains LTE PUSCH uplink C code several important modules, including adding a CRC, CRC checksum, Turbo Coding, Turbo decoding tail-biting convolution cod
convolution-code-and-viterbi-decode
- 利用MATLAB实现了卷积码编码和维特比译码的整个过程，实现了软判决和硬判决的对比。-Using MATLAB realize the whole process of convolution code and Viterbi decoding to achieve a contrast soft decision and hard decision.
convolutional-code
- 里面包含了卷积码的编码以及其维比特译码全过程，代码具有很好的注释，比较容易读懂，并附有程序整体流程图供读者参考。-Which contains the convolutional coding and bit decoding, the whole process, code is very good notes, easier to read, and accompanied by a whole program flow chart for the reader reference.
213juanji
- 213卷积的源码程序，听过卷积进行编码译码，使数据传输具有了保密性。-213 source code of the source code, to hear the convolution encoding and decoding, so that data transmission with a secret.
SAE_DBN_CNNToolbox
- 多种深度学习框架，主要包括堆栈稀疏自动编码器，深信度网络，卷积神经网络等。对于灰度图像和高维图像，展现非常强大的学习性能。-A variety of deep learning framework, including automatic stack sparse encoder, is convinced of the network, convolution neural networks. For grayscale images and high-dimensional image, s
ofdm_2
- OFDM仿真包括信号源,卷积码编码，交织，qpsk调制，IFFT，组帧，上采样，通过FIR滤波器 通过高斯信道，再经过低通FIR滤波器，下采样，拆帧，FFT，qpsk解调，接收数据；计算误比特率-OFDM simulation including the signal source, sampling convolutional encoding, interleaving, QPSK modulation, IFFT, frame,, through the FIR filter throu
monitor-recorder
- SeetaFace人脸识别引擎包括了搭建一套全自动人脸识别系统所需的三个核心模块，即：人脸检测模块SeetaFace Detection、面部特征点定位模块SeetaFace Alignment以及人脸特征提取与比对模块SeetaFace Identification。 主要功能： 人脸检测模块(SeetaFace Detection): 采用了一种结合传统人造特征与多层感知机（MLP）的级联结构，在FDDB上达到了84.4 的召回率（100个误检时），并可在单个i7
Conv_enc_215
- (2,1,5)卷积码编码器，目前网上还没有，有需要的可以下载-(2,1,5) convolutional code encoder, the current network has not, there is a need to download to see
viterbi
- (2,1,5)的维特比译码器源码，能译码出经过编码后的卷积码-(2,1,5) Viterbi decoder source code, can decode the encoded convolutional code
xlag__gesolve
- 完整的GSM信道编码 为话音信道的卷积编译码 还有交织,很好的-Complete the GSM channel coding for convolution whose voice channel decoding And interweave, very good
zbjlpdm
- 并且在卷积码编码过程中,再对序列进行图示的映射,可通过以下程序实现：,-And in the process of convolution code coding, and then to the graphic mapping sequence, can be realized through the following procedures:
yjzcpk
- gsm tchfs语音信道传送接收过程仿真,包括外编码卷积码交织过程-GSM TCHFS voice channel transmission receiving process simulation, including coding convolution code outside the weaving process
realaxecute
- 完整的GSM信道编码 为话音信道的卷积编译码 还有交织,很好的-Complete the GSM channel coding for convolution whose voice channel decoding And interweave, very good
819538
- gsm tchfs语音信道传送接收过程仿真,包括外编码卷积码交织过程-GSM TCHFS voice channel transmission receiving process simulation, including coding convolution code outside the weaving process
uuiimemory
- 卷积码是一种有记忆的编码,在任意给定的时间单元处,而且也与前m个输入有关,-Coding, convolutional code is a memory at any given time unit, but also related to m input before,
DeepLearnToolbox-master
- 这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to
panwgcx688
- 卷积码是一种有记忆的编码,在任意给定的时间单元处,而且也与前m个输入有关,(Coding, convolutional code is a memory at any given time unit, but also related to m input before,)
dwutw
- 卷积码是一种有记忆的编码,这里提供了卷积码的维特比译码函数(With convolution code is a kind of memory of coding, here provide the victor than decoding function of convolution code)