guide-of-matlab

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

ofdm snr is designed for signals

说明：  对FOA算法进行改进,提高了算法寻优的速度与准确性(The FOA algorithm is improved to improve the speed and accuracy of the algorithm)

稀疏脉冲反褶积程序，提高地震资料分辨力的有力工具！！(Sparse pulse deconvolution program, is a powerful tool to improve the resolution of seismic data!!!!!)

对AR（4）模型的经典功率谱估计，并与真实功率谱作比较。采用了welch方法，协方差法，burg方法(For AR (4) model of the classic power spectrum estimation, and with true power spectrum for comparison. Welch method using covariance method, burg method)

aco feature selection

可以对信号进行短时傅里叶变换，也可以对反射系数序列进行短时傅里叶变换(STFT)

11n物理层最后达成的联合草案，Joint Proposal: High throughput extension to the 802.11 Standard: PHY(Joint Proposal: High throughput extension to the 802.11 Standard: PHY)

OPTIMAL POWER FLOW WITH TCSC USING GENETIC ALGORITHM

Mathematic Algorithm for image processing contrast solarisation