EMcanshuguji

time frequency analysis for images

正需要这方面的资料,Viterbi算法在业界很强，和大家一起分享交流(Is in need of this information, Viterbi algorithm in the industry is very strong, and we share exchange)

基于粒子群算法的PID控制器优化设计，注释说明清晰，程序运行顺畅(Based on Particle Swarm Optimization Design of PID controller, clear explanatory notes, the program runs smoothly)

在Matlab环境下用最小相位法和负倒谱实现的对序列的转换(In the Matlab environment and using minimum-phase cepstrum negative realize the conversion of sequence)

Gaussian Distribution.

反映振动信号分布特性的数值统计量，是归一化的4阶中心矩 (Numerical statistics reflect the distribution characteristics of the vibration signal is normalized 4-order central moments)

用差分进化算法求解带有约束的混合整数规划问题(Using differential evolution algorithm for solving mixed integer programming with constraints problem)

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.)

In the planning stage of a GNSS-measurement campaign it is useful to compute several design para-meters in order to decide how, when and where to carry out the measurements. The MATLAB user interface VISUAL.M enables you to compute the design parameters for any system design.

to removw luminance part of the image