111111

matlab 小波工具包，包括各种小波处理源码。非常有用！(wavelet matlab toolkit, including a variety of source wavelet processing. Very useful!)

说明：  该文件为基于matlab的OFDM仿真程序，对于了解OFDM原理和具体实现有一定的参考意义。(The document is based on the matlab simulation program of OFDM, OFDM for the understanding of principles and concrete realization of the significance of some reference.)

说明：  遗传算法进行线性规划优化，可用于多个方面(Linear programming optimization of genetic algorithm can be used in many areas)

说明：  MATLAB符号计算课件 内容包括： 1 符号对象 2 符号微积分 3 级数 4 符号方程求解 (MATLAB symbolic computation courseware includes: 1 Symbolic Object Calculus 2 symbols 3 symbols 4 series equation)

ecma-368 ultra wide band ber test2

new model for IDGFM gozare khatasaz

fingerprint extraction

1、利用自相关法找出含有大量数据的周期信号的周期 2、利用互相关对齐含有大量数据的多路采样信号以便分析 3、使用分段平滑经过求导后的含有干扰的图像曲线(1, using the autocorrelation method contains large amounts of data to identify the period of the periodic signal 2, using the cross-correlation contains a large amount of data aligned with the sampling signal for the multiplexed analysis, the use of segmented through derivative after smoothing with interference by the image curve)

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. )

说明：  计算序列x=[3 0 2 1 3 4 6] 和y=[3 0 -2 1 -3]的线性卷积(Calculation sequence x = [3 0 2 1 3 4 6] and y = [3 0-2 1-3] the linear convolution)