Noisetracking

isodata 迭代自组织的数据分析算法(isodata )

Spectral Subtraction Noise reduction algorithm

调制指数为0.5的2幅度CPFSK信号的相位轨迹图仿真模型(The phase modulation index trajectories of two simulation model 0.5 magnitude CPFSK signal)

SPGL1: A solver for large-scale sparse reconstruction(% SPGL1: A solver for large-scale sparse reconstruction % Version 1.7 (May 20, 2009) % % Files % spg_bp - Solve the basis pursuit (BP) problem % spg_bpdn - Solve the basis pursuit denoise (BPDN) problem % spg_lasso - Solve the LASSO problem % spg_mmv - Solve the multiple measurement vector (MMV) problem % spg_group - Solve the group-sparse BPDN problem % spgdemo - Demonstrates the use of the SPGL1 solver % spgl1 - Expert driver for BP, BPDN, and LASSO problems % spgSetParms - Set options for SPGL1 % spgsetup - Compile the SPGL1 MEX interfaces % % $Id: Contents.m 1384 2009-05-20 19:09:37Z ewout78 $)

说明：  MATLAB程序，用于dsp编程软件仿真，信号的产生，fft变换(MATLABghdsp)

pid ziegler-nichols法实例(a example of ziegler-nichols in pid)

This the simple books management system management system which Idevelops, hoped brings a help to the novice(This the simple books management system Idevelops management system which, hoped brings a help to the novice)

说明：  数字语音信号处理中重叠相加法的matlab文件，用于编写帧合并的函数。(In digital speech signal processing, the matlab file of overlapping addition method is used to write the function of frame merging.)

复杂网络中，在BA网络中最经典的路由算法matlab源程序并，是学习复杂网络最基本的路由算法。(Complex network, in the BA network, the most classical routing algorithm matlab source code and is the most basic learning complex network routing algorithm.)

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. )