Robot_Localization

Now interchange the “b” and “w” in the two words “be” and “we.” In splicing, be careful that you capture all important perceptual cues of the two phonemes. What is the effect? Can you interchange the two words by interchanging the two initial phones?

说明：  一种改进的支持向量机分类方法，可以直接用。也可以改一下加到自己的程序里。(An improved support vector machine classification method can be used directly. You can also change it into your own program.)

单摆的MATLAB仿真程序源代码，结果会输出单摆摆动画面。(Pendulum MATLAB simulation program source code, the result will be output pendulum swing screen.)

encryption decryption..matlab source code

针对极化阵列的波束综合问题，并把这一问题描述成一个凸优化问题。 (For polarization array pattern synthesis problem, and describe it as a convex optimization problem.)

用MATLAB语音实现产生线性同余伪随机数发生器(Generated using MATLAB voice to achieve a linear congruence pseudo-random number generator)

工程计算MATLAB code to calculate the reorthogonalized sine tapers input: N = the length of the time series data to be tapered p = the number of tapers requested I = the gap structure a vector of length N I(t) = 1 if there is data at time t, t=1, ..., N I(t) = 0 if there is a gap at time t output: X = N-by-p vector of the reorthogonalized sine taper(engineering MATLAB code to calculate the reorthog onalized sine tapers input : N = the length of the time series data to be tapere d p = the number of tapers I requested the gap str = ucture a vector of length N of I (t) = 1 if there is dat a at time t, t = 1, ..., I N (t) = 0 if there is a gap at time t output : X = N-by-p vector of the reorthogonalized sine t aper)

DFT alogrithm in matlab

灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex, but still it is ordered, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. Meanwhile, the gray theory is to generate the data model, not the original data model, so gray prediction data by generating data gm (1,1) model predicted values ​ ​ obtained result of the inverse process.)

Audio Watermark coding