Z-SEP

Beginning Example for matlab simulink

This file is 802.11a+mimo system based on matlab simulink. Which contains nine mdl files, is what I do MIMO-OFDM find papers are available are welcome to download. This will work in Matlab 2006b.

This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet(This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m-- forward curvelet transform afdct_usfft.m-- adjoint curvelet transform ifdct_usfft.m-- inverse curvelet transform fdct_usfft_param.m-- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m-- display the shape of a curvelet fdct_usfft_demo_recon.m-- partial reconstruction using curvelet fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m-- image denoising using curvelet)

说明：  为ifft后的时域数据加cp的MATLAB程序。(After the time-domain data ifft added cp' s MATLAB.)

commande d in pendule inversé par placement des poles

实现功率谱估计的两种方法，直接法与自相关法(Power spectrum estimation of the two methods, the direct method and the autocorrelation method)

已知采样频率80000，通带衰减0.5阻带衰减45 通带截止频率4000，阻带截止频率20000，用双线性变换法设计数字低通滤波器 (Known sampling frequency 80000, attenuation in the passband stop-band attenuation 45 0.5 Passband cutoff frequency of 4000, 20,000 stopband cutoff frequency, using bilinear transform design digital low-pass filter)

与感知器应用相关的matlab编程，希望对需要的人有帮助，可以qq联系我(Application with the perceptron matlab programming, hoping to help those who need it, can qq contact me)

说明：  研究智能算法的同学，可以参考这些例程学习(Students studying algorithms can refer to these routines)

实现盲解卷积的算法讲解和例程，非常好的资源(Blind deconvolution algorithms and routines to explain, very good resource)