RegistrationMATLAB

采用K近邻算法预测时间序列的源代码，希望对大家能有所帮助。(Predict time series using kNN.)

Approximate solution for the Traveling Salesman’s Problem Using Continuous Hopfield Network, matlab TSP

matlab资料大全，本人多年积累。内含有18513MC混合编程源代码！(matlab Sourcebook, I accumulated over the years. Contains 18513MC hybrid programming source code!)

说明：  增广最小二乘法，根据最小二乘法改变，用于辨识参数(LSM)

多频带信号压缩采样的回溯SOMP重构方法(Multi-band signal compression sampling back SOMP reconstruction)

说明：  its #D graphic program in c....very easy to understand

training based channel equalization

老外开发的MATLAB支持向量机工具,由国外著名大学研究小组开发(SVM tools by MATLAB )

自适应抵消的算法的综合 主要是lms rls mmls等(Adaptive offset algorithm synthesis is mainly lms rls mmls, etc.)

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. )