code

below shows the variation in angle and position of the cart. We can see that the position of the cart keeps on increasing i.e., the cart moves continuously without stopping and the angle of the pendulum

本程序实现任意偶数大小图像第二代双正交97提升小波变换(This procedure of an arbitrary even-size images to enhance the second-generation dual-orthogonal wavelet transform 97)

Watermarking, as opposed to steganography, has an additional requirement of robustness against possible attacks. An ideal steganographic system would embed a large amount of information perfectly securely, with no visible degradation to the cover object.

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复(From sensor array beamforming is reconstructing source signal.(1), by increasing the expected source contribution to achieve (2), by suppressing interference sources.Classic beamforming need observation direction (expected source direction).Blind beamforming is trying to not expect source direction information of source of recovery)

image noise reduction by level dependent thresholding

时差法在超声波测量流量中的应用程序,原吗利用相关法求得时差(time difference in ultrasonic flow measurement applications, the original use of the relevant law? Seek TDOA)

This is book for Matlab programming

说明：  对于一个散射面进行重构,并计算出了散射场的值(reconstucting a scattering surface and calculate the value of the scattering)

用matlab编写的GUI射击小游戏，靶子图片为pp，可直接更换(Prepared using matlab GUI shooting game, the target image is pp, can be a direct replacement)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)