MUSIC

系统辨识与自适应控制MATLAB仿真CH6,好东西大家分享(System Identification and Adaptive Control of MATLAB simulation CH6, good things to share with you)

DTMF for matlab, using Goertzel algorithm and some test to veryfy the different tones

this is the first chapter of famous neural net tutorial by hugan

74161实习十进制计数功能，有预置端和清零端(Decimal count )

HHT 改进算法，文章中给出了详细的步骤和实现方法，对信号处理专业的有很大帮助(Improved algorithm of HHT, this paper presents the detailed steps and methods of signal processing, professional help)

说明：  PM MUSIC ESPRIT 算法性能比较(Performance comparison of PM music ESPRIT algorithm)

控制系统中，系统建模。关于状态空间模型建立，然后通过零极点配置控制程序(Control systems, system modeling. On the state space model, and then zero-pole placement control program)

这是一个二维小波变换经典程序，用DWT实现图像的分解与重构(This is a two-dimensional wavelet transform of the classic procedure, using DWT realize image decomposition and reconstruction)

阵列信号中常用的CBF、MVDR等波束形成算法的编写与基本性能分析(Array signal CBF, MVDR beamforming algorithm to write basic performance analysis)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy