timefrequencyanalysis

Computer Networking - Go Back N

Plot examples with codes in matlab

在C++中访问IBuffer类中的数据，开发环境：Windows 8, visual studio 2012(How to access data in an IBuffer in C++)

Performance Evaluation of an Orthogonal Frequency Division Multiplexing based Wireless Communication System with implementation of Least Mean Square Equalization technique

Obtain the CDF plots of PAPR from an OFDM BPSK transmission specified per IEEE 802.11a specification Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely. Using a small script, the cumulative distribution of PAPR from each OFDM symbol, modulated by a random BPSK signal is obtained

包括九个实例，展示matlab在自动设计中的仿真应用(this book includes nine examples that represent tipical design tasks of an automotive applications)

这是一篇讲解Matlab的一些简单的使用操作以及程序，对新手是很好的。(This is one to explain the use of some simple Matlab operations and procedures, the novice is very good.)

LTE中，从CRC循环校验到最终Turbo编码输出(LTE, from CRC cyclic check to the final output of Turbo coding)

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

Proper Orthogonal Decomposition for 2D data