BA

数字通信系统的t-EBPSK的调制与解调，功率谱密度的绘制，以及误码率曲线(Digital communication system t-EBPSK modulation and demodulation, the power spectral density plotted, and BER curves)

语音信号处理中，语音盲分离的源程序，实现效果较好(Speech signal processing, the voice blind source separation, better)

在Matlab环境中，使用高阶有限差分算法实现双相介质地震波场正演模拟(Forward modeling for two-phase media)

FMCW调频连续波雷达的测距测角，基于分段非线性权重值的Pso算法，模拟数据分析处理的过程。( FMCW frequency modulated continuous wave radar range and angular measurements, Based on piecewise nonlinear weight value Pso algorithm, Analog data analysis processing.)

Max Log MAP decoding

MATLAB频谱分析源代码，自己写的，配合原始数据文件，超级详细(Spectrum Analyzer MATLAB source code that he wrote with the original data files, super detailed)

comfac算法是三线性模型常见的数据检测方法。它首先将三线性数据通过tucker3模型压缩，然后通过最小二乘的方法不断更新数据，直到收敛，得到估计值( The algorithm works by first compressing the data using a Tucker3 models. Subsequently the PARAFAC model is fitted to the compressed array, either initialized with DTLD (~ESPRIT) or with PARAFAC-ALS. The solution is de-compressed to the original space, and a few safe-guard PARAFAC-ALS steps are performed. Further optimization of this algorithm is possible, e.g. if the data are very large, if the profiles are very correlated or if the noise is huge. This 、 has not been pursued here, in order to have a generally applicable algorithm)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

MSVC2008调用Matlab2009的方法。该资料为文档。(VC call matlab program)

用交替方向乘子法来求解L1正则化问题、BP问题、BPDN问题的一种算法(An algorithm for solving the L1 regularized problem, BP issue BPDN problem with alternating direction multiplier method)