multiobjectivelinearprogramming

Direct torque control based neural netwoek

说明：  ofdm的同步方法的参考文献，讲述了各种不同的参考文献的方法。(The synchronization method ofdm references about a variety of different methods References.)

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 )

non linear B spline curve fitting

SFWEC WDSOW EWIKC ERWNWFEQWFD FWEF

固定长度winnow译码程序，使用汉明编码进行误码协商，确保通信双方信息一致(Fixed length winnow decoding program that uses Hamming coding error consultations to ensure that information is consistent communicating parties)

TURBOC 文本处理常规库(TURBOC2.0 conventional text-processing library)

说明：  此程序为语音信号的过零率检测，白噪声过零率远远高于语音信号，故可通过对过零率的检测判断出是不是语音信号。(This procedure for the zero rate of speech signal detection, white noise zero crossing rate is much higher than the speech signal, it can zero rate by detection of voice signal is not judged.)

function Px = music(x,p,M) MUSIC Frequency estimation using the MUSIC algorithm. ----- USAGE Px=music(x,p,M) The input sequence x is assumed to consist of p complex exponentials in white noise. The frequencies of the complex exponentials and the variance of the white noise are estimated using the MUSIC algorithm. x : input sequence p : number of complex exponentials to find M : number of noise eigenvectors to use The frequency estimates are found from the peaks of the pseudospectrum Px.

code to calculate an image saliency map