matlab_GUI_1

基于高斯扰动的布谷鸟算法优化svr网络结合libsvm工具包可进行回归预测(Svr network optimization toolkit can be combined with libsvm regression prediction algorithm based on Gaussian disturbance cuckoo)

考虑自平衡能力的并网型微电网容量多目标优化配置 适用于解决新能源并网发电(Considering the self balancing capacity of grid connected microgrid capacity multi objective optimal allocation is suitable to solve the new energy grid connected power generation)

calculate optimum number of bins when construct histograming.

利用MATLAB对原有声音波形进行加躁，去噪。得出加躁语音频谱图、去噪语音频谱图，以及对应文件。 (The original voice waveform with manic using MATLAB, denoising. The impatient voice spectrum, denoising voice spectrum graph, and the corresponding file.)

里面包含m序列，gold序列的生成函数，还有自己编写的自相关函数的M文件。(Which contains m-sequence, the gold generating function of the sequence, as well as I have written the autocorrelation function M-file.)

轮式机器人差速驱动下的圆形轨迹程序，可修改参数。(Round trajectory program driven by differential speed of wheeled robot.)

Wigner-Ville 分布(简称 WVD)是典型的二次型变换，它定义为信号瞬时相关函数的傅立 叶变换。 由于在计算中不加窗操作，它避免了时域分辨率和频域分辨率之间的相互牵制。 已证明，对于单分量线性调频信号，WVD 的时频表示能量集中性最优。但也正因为不涉 及窗函数，在分析多分量信号时 WVD 会受到交叉项的干扰。(The Wigner-Ville distribution (WVD) is a typical quadratic transformation, which is defined as the Fourier of the instantaneous correlation function of a signal. Ye Bianhuan. Because of no window operation in the calculation, it avoids the mutual restraint between time domain resolution and frequency domain resolution. It has been proved that for the single component LFM signal, the WVD time frequency representation has the best energy concentration. But it is also because it does not involve. And window functions, when WVD is used to analyze multi-component signals, it will be interfered by cross terms.)

说明：  LDPC编码的BP译码算法的matlab程序(Matlab Program of BP Decoding Algorithms for LDPC Coding)

FQPSK调制仿真程序，在matlab中实现，能有效实现FQPSK功能，程序准确无误(FQPSK modulation simulation program, implemented in matlab, can effectively achieve FQPSK function, the program is accurate)

image segmentation. This package contains demos that were used during an Image Processing webinar