FFT-frequency-analysis

It describes the fading in wireless channels

说明：  本上传讲解了傅里叶变换与频谱分析之间的关系，通过fft的到信号的频谱图(Explained the Fourier transform of the upload and spectral analysis of the relationship between the fft of the signal through the frequency spectrum)

基于学习的图像超分辨率重建，可以进一步了解基于学习的方法。(Learning-based super-resolution image reconstruction, we can further understand the learning-based approach.)

里面含有盲识别BCH码的长度的代码，用于matlAB子程序调试，很好用。(BCH code which contains the length of the blind identification code for matlAB subroutine debugging, very good use.)

使用matlab语言编程的steger图像边缘检测算法，不仅可以检测图像边缘中心，对于图像边的两侧，只要调整好参数也可以达到目标。(Matlab programming language used steger image edge detection algorithm, not only can detect the image edge centers, on both sides of the edge of the image, as long as the adjustment parameters can also be a good target.)

使用simulink建模仿真信号的采样与恢复，还可以观察频谱特性(Simulink modeling and simulation of signal sampling and recovery can also be observed spectral characteristics of)

Generates a structure similar to the Claussen Shadow Fading Map but without any shadowing (to deactivate shadow fading)

基于matlab的直流伺服电机驱动进给系统的仿真研究 ，(Matlab-based DC servo motor drive feed system simulation,)

说明：  使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)

是研究图像学很好的一本电子版的教材，里面有很详细的例程，对初学者是不错的选择；matlab图形算法，对初学者有很大的帮助，里面有matlab代码的详细介绍，希望对大家有帮助(Matlab graphics algorithm, for beginners there is a lot of help, there is a matlab code in detail, hope to help everyone)