MyDct_SourceCode

implement the edge detection and segmentation using matlab.Welcome to download.

作业，自己编的滑模变结构控制的仿真程序，控制效果很好(Operations, their series Sliding Mode Control with the main program, the control works well)

调制信号的波形及其功率谱。。。很好用。。(The modulated signal waveform and the power spectrum)

说明：  使用安捷伦ADS高级设计软件设计微带滤波器 实用的教程(Agilent ADS design of advanced design software tutorials and practical microstrip filter)

抽样定理演示程序，能清楚看到当抽样速率大于2fs时恢复模拟信号的过程和当抽样频率小于2fs时频率混叠的过程。同时还包括频率抽样过程的演示。非常详尽。通过此演示程序，你肯定能明白抽样定理这一通信领域基本的原理！(The sampling theorem demo program, you can clearly see that when the recovery process of the analog signal sampling rate greater than 2fs and frequency aliasing when the sampling frequency is less than 2fs process. Also includes a demonstration of the frequency of the sampling process. Very detailed. Through this demonstration program, you can certainly understand sampling theorem this basic principle in the field of communication!)

this is matlab based eee project

卡尔曼滤波器matlab仿真程序，已知测试的随机信号用卡尔曼滤波器，估计原始信号。(kalman filter)

用matlab实现对一段语音数据的语谱图（窄带和宽带）的画图分析(Spectrogram of a voice data (narrowband and broadband), drawing analysis using matlab)

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!

给出了一种新的自适应非线性滤波历程，该方法计算量小而且使用方便(Presents a new adaptive nonlinear filtering process, the method is small and easy to use)