TRF796x_EVM_Rev_A1_Schematic

说明：  Thue-Morse building algorithm

平面控制网间接平差，含源码，清晰易懂，适用于各种程序设计基础学习。。。。。。。。。。。。。(Plane control network of indirect adjustment )

LMS matlab 仿真实例 Monte Carlo仿真统计次数(LMS matlab simulation examples Monte Carlo simulation statistics)

joint pdf of two image

matlab algorithm，PCA (Principal component analysis)used for dimensionality reduction. usage:[NEW_DATA, EIGVECTOR, EIGVALUE] = PCA(DATA, EIG_N)

Matlab 编程百例,有百个原程序 Matlab 编程百例,有百个原程序()

1.题目：数字滤波器的设计与应用 2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中 的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。 3.具体步骤： （1）构造原始信号s(t) （2）画出s(t)的频谱 （3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性 （4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性 （5）用三路信号s1,s2,s3尝试重新合成原始信号 4.问题：为什么重新合成的信号和原信号不相等呢？谁能解释一下？谢谢,QQ:664519036( 1. Title: Digital Filter Design and Application 2. Design requirements: use of Matlab software to composite signal separation, for example, on "Digital Signal Processing" course Of the spectral analysis, digital filter design and signal filtering process carried out three Simulation, the simulation results. 3. Concrete steps: (1) construct the original signal s (t) (2) Draw s (t) of the spectrum (3) design ellipse digital filter (IIR), including low pass, band pass, band pass, and shows amplitude-frequency characteristics (4) filtering with a filter obtained by the isolation of three signals, observed time-domain waveform and frequency characteristics (5) with a three-way signal s1, s2, s3 try to re-synthesis of the original signal 4. Question: Why is re-synthesized signal and the original signal is not equal to it? Who can explain? Thank you, QQ: 664519036)

这个是kalal大神的TLD目标跟踪算法源码，是matlab版本的，功能很好很强大，经典的目标跟踪算法(This is kalal God TLD target tracking algorithm source code, the function is very very strong, classic target tracking algorithm)

完成模糊PID系统，相比传统PID而言，模糊PID系统具有很好的性能(Complete fuzzy PID system, compared with traditional PID, the fuzzy PID system has good performance)

说明：  pf upf程序效果对比，建议kalman滤波，控制工程类学习(Compared with PF UPF program, Kalman filter is recommended to control engineering learning)