strippercost

基于LMS算法的自适应噪声消除仿真分析,内含详细的文档说明(LMS-based adaptive noise cancellation algorithm simulation analysis, contains a detailed documentation)

The package contains matlab coding and algorithms which will be easy to understand and provides a variety of strategies to develop a good programming skill

教材统计学习方法 Statistical Learning Materials(Statistical Learning Materials)

Estimates the power spectral densities (PSDs) using both the ICOMP method and Mallows CL for deciding the diagonal loading.

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

matlab语音处理工具箱，包含语音处理必备函数(Speech processing toolbox of matlab, including speech processing essential functions)

说明：  一些matlab学习用资料和数据分析的相关资料，供学习python和数据分析的使用。(Some matlab learning materials and data analysis related materials are used for learning python and data analysis.)

it is a very simple and helpful document and source code for image compression

This file contain Frequency hoping techniques for the communication

一个关于压缩感知的论文，是用子空间迭代法求出最后的稀疏解(a method for compressed sensing)