PCA4Wiley

RX_MBOC的自相关函数，MBOC(6,1,1/11)的自相关函数(RX of MBOC，MBOC(6,1,1/11))

matlab遗传算法代码，非常不错，值得看看(matlab genetic algorithm code, very good, worth a look)

matlab TSVQ 樹狀結構向量量化編碼(matlab for TSVQ Tree-structured Vector Quantization )

"Guess The Number" Gae For Beginers.

信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。(Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results.)

混沌时间序列的预测matlab例程，自己编的，希望大家不要见笑(Chaotic time series prediction matlab routines, own, and hope that we will not stock)

this matlab code about corrent channel

对于连续非线性系统，可以使用灰色预测PID控制(For a continuous nonlinear system, you can use gray prediction PID control)

用高阶累积量做的单载波和OFDM信号的识别的matlab全部源代码。对做这方面研究的人绝对会有帮助。(Cumulant to do with single-carrier and OFDM signals recognition matlab full source code. For people who do research in this area will definitely help.)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )