queueing_theory

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

线性调频信号，包括产生和脉冲压缩，国科大资料(Chirp signal, the National Science and Technology Institute of China)

matlab7.0入门学习，很有用，适合初学者使用，值得收藏(matlab7.0 entry-learning, useful for beginners, worth collecting)

本程序是根据3gpp中tdd协议中的下行导频码的结构构造的导频码捕获的程序，在该程序中针对导频码的结构独创性的提出了加功率窗法的捕获，比普通的方法效率搞 用matlab编的(This procedure is based on 3GPP TDD agreement in the downlink pilot code structure of the pilot code acquisition procedure, in the pilot program code for the structure of original proposed law plus power window capture, than the ordinary efficient method to engage with matlab series)

说明：  三维显示与透视的MATLAB程序。希望对大家有帮助。(True color contour map and three-dimensional surface of the MATLAB program. We want to help.)

聚焦波束形成 线阵波束形成算法实现：包括非FFT算法和采用FFT算法的程序(Focused beamforming line array beamforming algorithm: including non-FFT algorithm and uses FFT algorithm procedures)

These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used. In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone. We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset. The topics discussed include: * Signal manipulation and visualisation * Design and application of digital filters * Frequency-domain analysis * Automatic peak detection * Feature extraction from signals * Train and test of simple Neural Networks

tasks of matlab in seecs

说明：  永磁同步电机id=0 FOC控制，SVPWM算法simulink仿真模型，波形良好(Permanent magnet synchronous motor id = 0 FOC control, SVPWM algorithm Simulink simulation model, good waveform)

说明：  图像的二维傅里叶变换，matlab编程，很好用。(Two-dimensional Fourier transform image, matlab programming )