Ppca_matllabC

Arduino hx711库文件，在编写程序省去很大力气，很好用的头文件，大力推荐(Arduino hx711 library files, eliminating the need to write programs in a lot of effort, a good use of header files, strongly recommended)

这是一个电力系统谐波检测的MATLAB仿真模型，采用的是基于瞬时无功功率理论的pq法，效果很好(This is a power system harmonic detection MATLAB simulation model, based on the use of instantaneous reactive power theory pq method, the effect is very good)

图像预处理 字符识别实例(I&II) 有助于处理验证码(图像预处理——字符识别实例(I&II))

这是大学毕业时设计的失真度检测仪论文，由模拟陷波器实现的剔除几波，如果改进的话，可以用数字滤波器实现，不过成本更高(It is designed for university graduation thesis distortion detector by analog notch filter removed to achieve a few waves, if improved, you can use digital filters to achieve, but higher costs)

psat 39节点数据 39节点数据 39节点数据 39节点数据 (psat 39)

an a dedicated hyperterminal

这是一个应用一致性几何绕射理论编写的简单程序，初学学者可作为参考(This is a simple program UTD written application, can be used as a reference for beginners and scholars)

求从1到20的阶乘，并且可以推广到N阶阶乘，。(Demand from 1 to 20 factorial, and can be extended to N-order factorial,.)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

Example of working with binary file