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数据结构好冬冬
- 哈夫曼编码译码,克鲁斯卡尔算法,魔王语言的解释,一元稀疏多项式相乘，C-Huffman encoding decoding, Kelushikaer algorithm, fiendish language interpretation, one yuan sparse polynomial multiplication, C
BCS
- 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sens
LDPC
- LDPC码编解码仿真程序，BSC、AWGN信道，sparse编码-LDPC code decoding simulation program, BSC, AWGN channel, sparse coding
communications_2
- 用vhdl代码描述的通信系统仿真程序。包括信源（20位m序列），crc编码（采用串行算法），加噪（用22位m序列产生稀疏的1，然后和编码后的数据异或），crc解码，数据串行输出。 -Vhdl code with the simulation program described in the communication system. Including the source (20 m sequence), crc code (using the serial algorithm), no
AnalgorithmusingtheSchurcomple-
- LDPC(Low-density-parity-check，低密度奇偶校验)码是一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低，结构灵活，是近年信道编码领域的研究热点-LDPC (Low-density-parity-check, low-density parity check) codes are a class of sparse check matrix of linear block codes, is not only good perfo
CSzhongsu
- 该文对压缩感知理论进行了综述，对压缩感知的稀疏表示、观测矩阵、编码、解码和有待研究的关键问题进行了综述-This paper summarizes the theory of compressed sensing, sparse representation of compressed sensing, observation matrix, encoding, decoding and the key issues to be examined were reviewed
ldpc
- LDPC编码描述，译码描述，稀疏H矩阵描述，基于概率运算的译码方式-LDPC coded descr iptions, decoding descr iption, sparse matrix H described decoding methods based on probability calculation
BP-decoding-with-Sparse-Matrix
- 主要讲的BP的译码算法，通过各种比较，突出他的译码性能比较好-Mainly about BP decoding algorithm, through a variety of comparison, highlighting his decoding performance is better
paper1
- 关于LTE的文章，希望大家喜欢。 Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels-Belief-propagation-based joint channel estimation and decoding for spectrally efficient communicatio
LDPC
- Parity check bits is computed using sparse LU decomposition, utilizing sparse matrix properties of H. LDPC code decoding is done using iterative belief propagation or sum-product algorithm (SPA). Four versions of SPA decoder are presented.
code
- 稀疏傅立叶算法，matlab实现仿真，对于算法重构用到了混叠同余法和相位解码法，并对SFFT和FFT算法对同一数据的处理时间进行了对比。(Sparse Fourier algorithm, matlab to achieve the simulation, the algorithm used for aliasing congruence and phase decoding method, and the SFFT and FFT algorithm for the same data pr
Deterministic Message Passing Algorithm SCMA in NOMA 5G
- Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal techniques, SCMA enjoys higher overloading tolerance and lower complexity