32bianhuan

心电滤波程序及产生噪声心电波形和正常心电波形的程序(ECG noise filtering procedures and have a normal ECG waveform and process ECG waveform)

该代码实现了图像的滤波处理，这段代码给出了三种滤波矩阵，包括图像平滑(低通滤波器)、图像边缘提取(高通滤波器)等。用户下载后可以根据自己需要修改滤波矩阵和参数值，以便实现特殊的功能。为了形象的说明滤波效果，代码执行后可以看到滤波前后滤波后的对比图像。 (The code of the image filter processing, the code shows the three filter matrix, including the smoothing (low pass filter), image edge detection (high-pass filter) and so on. Users can download their own need to modify the filter matrix and the parameter values in order to achieve a specific function. Filtering effect to the image description, code execution before and after filtering can be seen after comparison of the filtered images.)

simulink中自己搭建的永磁同步电机模型，在相同参数下与系统自带的模型仿真对比，其输出波形完全一致，说明搭建的模型正确(Simulink u4E2D u81EA u5DF1 u642D u5ED u5ED u7EF0 u7EF0 u7R0 U81EA u5E26 u7A1 u6A1 u5782 u5R2 u5B09 u5B09 u0B09 U6A21 u578B u6B63 u786E)

说明：  dsc单边带调制。功能是用10Hz的载波信号去调制频率为500Hz的基带信号，然后得到单边带调制信号(single-sideband modulation)

常微分数值解 Runge-Kutta 龙格-库塔(Runge-kutta)算法在MATLAB中的用法(Differential numerical solution Runge-Kutta)

广义预测控制是一种最具代表性的预测控制算法之一，本文通过对广义预测控制的稳定性、鲁棒性和实时性分析，得知它控制方程复杂、计算量过大、不利于实时控制。为此，广义预测控制算法，然后进行参数选择的研究，并针对冷连轧机张力系统进行了仿真，最后介绍了广义预测控制算法的其它改进方法。(Generalized predictive control is one of the most representative predictive control algorithms. This paper analysis the stability, robustness and real-time, But it has lots of calculations and unfavorable real-time. So this paper gives the algorithm of based on BP neural network of generalized predictive control. Then it analysis the system and the parameter selection, do some simulations to the cold continuous rolling machine tension system.)

mpsk生成代码,各种方式生成的代码 ，包括2psk,qpsk,8psk,16psk等(MPSK generate code, generate code in various ways, including 2psk, qpsk, 8psk, 16psk such as)

OFDM第一版（经典课件）有大量详细的关于OFDM的讲解(OFDM first edition (the classic courseware) a large number of detailed explanation on the OFDM)

cubic spline code information

Image Compression by: 1) Use Adobe Photoshop to Compress images using LZW algorithm (i.e. lossless technique). 2) Use MATLAB to Compress images using JPEG algorithm (i.e. lossy technique) and Assess objectively the quality of the compressed images