pulse_generator3

This exchange file creates a clickable image map for a figure with links to multiple data sources

MUSIC算法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算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

通信系统仿真时使用的插值程序，对仿真的BLER进行有效的插值，可以估计出不能仿真到的点。可以对仿真进行预测(Communication System Simulation interpolation procedures used for simulation BLER effective interpolation, can not be estimated from the simulation point. Simulation can predict)

software MPLAB... writing program (coding .c/.h)

针对梁的振动控制Matlab程序，包括输入MKC矩阵，计算固有频率，并采用Simulink进行梁的振动控制(Matlab for beam vibration control procedures, including input MKC matrix, calculate the natural frequency and vibration of beams using Simulink Control)

是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统(Are two examples of more integrated, namely Visual C++ implementation of text based on neural networks and the license plate recognition system positioning systems)

本代码给出了一个不敏卡尔曼滤波实例和不敏卡尔曼滤波算法代码(This code gives an Unscented Kalman filter instance and not Unscented Kalman filter algorithm code)

基于MATLAB实现系统辨识，采用了五种不同的方法，源码通过调试运行无误。(Based on MATLAB implementation of system identification, using five different methods, source code debugging and running through correct.)

说明：  用matlab对仿真信号进行分解。包括fft变换、傅里叶变换、希尔伯特变换。可观察分解图形。(MATLAB is used to decompose the simulation signal. The FFT transform, the Fourier transform, the Hilbert transform. Observe the decomposition graph.)

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