PSOt

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

k-means算法，聚类算法，有图像聚类实例。聚类经典算法(k-means algorithm, clustering algorithm, image clustering instance. Clustering classical algorithm)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization

最小二乘一次计算法,就是一般的最小二乘算法(Least squares method, that is, the general least squares algorithm)

感知网络中基于随机 逼近的机会调度设计 (Random scheduling algorithm)

用于海杂波循环的对消的程序，能够很好地提高信噪比(For sea clutter cycle cancellation procedures)

ELMAN算法，完整的，适合学习ELMAN的初级matlab用户参考(ELMAN algorithm)

one pso program, it is easy to use (one pso program, it is easy to use)

这是对音频新训好进行bch编码后加入噪声的程序(This is the new audio training good for BCH joined noise coding procedures)