fast-matlab-code

用MATLAB编程求AR参数，并采用ＦＰＥ估计AR阶数(AR parameters uated using MATLAB programming, and the use of FPE estimated AR order)

matlab查询excel,matlab查询excel，matlab查询excel，matlab查询excel(matlab access to excel)

ICA(独立成分分解),可实现采集信号中源信号的分离，便于提取特征量，实现模式识别。同时由于可以将源信号分离开来，可实现信号的降噪，去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quantity, and realize the pattern recognition. At the same time, because the source signal can be separated, it can realize the noise reduction of signal, remove the fundamental wave, the three harmonic, the five harmonic, etc.)

对非线性方程，要求一定的精度，用matlab求解。(Nonlinear equations require a certain precision, using matlab to solve.)

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。 波束形成技术的基本思想是：通过将各阵元输出进行加权求和，在一时间内将天线阵列波束“导向”到一个方向上，对期望信号得到最大输出功率的导向位置即给出DOA估计。 虽然阵列天线的方向图是全方向的，但阵列的输出经过加权求和后，却可以被调整到阵列接收的方向增益聚集在一个方向上，相当于形成了一个”波束”。这就是波束形成的物理意义所在。 ()

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

双线性变换的特点是不产生频率混叠失真，是一种很好的设计方法(Bilinear transform the feature is not to produce the frequency aliasing distortion is a good design method)

说明：  MATLAB中的传递函数里长除算法MATLAB中的传递函数里长除算法MATLAB中的传递函数里长除算法(MATLAB中的传递函数里长除算法)

说明：  matlab的时频工具箱，里面有很多的例子。很有参考价值的(matlab time frequency toolbox, there are many examples. Worthy)

matlab的四元数工具包，可以进行计算。(The quaternion toolbox is written by Matlab, which can do caculation)