simulink

Feedback linearization of nonlinear multivariable system.

一个量化噪声分析程序。该代码是不长，只供参考。学生专用的试验。(One of the quantization noise analysis program. The code is not long for reference only. Students of special test.)

This is the matlab simulation of Semiconverter simulation.

mainMIMO_OFDMA_2Tx_Convcode.m: 主程序，设置各种参数 gendatabits.m: 生成原始信息比特数据的程序 conv_encoder.m: 卷积码编码器 interleave.m: 交织器 mod_2Tx_STBC_DFUSC_Convcode.m：调制程序 gen_SUI_CorrCIR.m: 生成信道冲击响应的程序 get_perfectCE_2x2.m: 生成理想信道估计值的程序 chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序 addAWGN_2x2.m: 添加高斯白噪声的程序 dem_DFUSC_2x2_STBC.m: 接收端解调主程序 ls_freq.m: 频域LS算法 ls_time_2x2.m: 时域LS算法 iterative_detection_decoding_2x2.m: 级联MAP算法主程序 map_decoding.m: 卷积码MAP译码程序 b2s_logp.m: 符号LLR转化为比特LLR">

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

LBP (local binary Pattern ) useful for texture classification

IEEE papers for wind energy

利用分步傅里叶法求解光纤中脉冲传输的非线性薛定谔方程。(Solves the NLS equation with the split-step method.)

采用非局部均值滤波（NLM filter）对图像进行去噪，能取得很好的效果。(Using non-local means filter (NLM filter) for image de-noising, can achieve good results.)

完美的ofdm系统matlab仿真程序，从编解码到加入信道到调制解调到信道均衡到同步和频偏估计，带有详细的程序说明(Matlab simulation ofdm system the perfect program to join from the codec to the modem channel to channel equalization to the synchronization and frequency offset estimation, with a detailed description of the procedures)