Dynamic-simulation-of-machine

BSS demo file for testing

调制信号在systemview环境下的仿真(Modulated signal simulation environment under systemview)

细胞图像的边缘检测，利用迭代最佳阈值分割算法确定阈值，然后对分割后的图像进行取反，并用腐蚀的方法求边缘(The cell image edge detection using iterative threshold segmentation algorithm to determine the threshold, then the image divided negated, corrosion and edge)

图像插值算法（最近邻域和双线性），很好用。(image interpolation algorithm (recent neighborhood and bilinear), is useful.)

lorenz分叉图是混沌系统的一个重要参数,揭示了该模型中存在混沌运动(Lorenz chaos bifurcation )

最小生成树 用于计算旅行商问题 (Minimum spanning tree used to calculate the traveling salesman problem)

混沌工具箱ver.2.0,程序没问题，可以用。有c-c法求时延和嵌入维数的，求最大李雅普诺夫指数的等。(Chaos Toolbox ver.2.0, the program is no problem, you can use. There cc method for delay and embedding dimension, for the largest Lyapunov exponent and so on.)

Kalman Filter. it is important for student who study or research about Kalman filter. Have fun.

关于优化的svm寻优算法，是用ga算法优化的，过几天我会上传基于布谷鸟算法的优化算法(About optimization svm optimization algorithm is ga algorithm optimization, a few days I will upload cuckoo algorithm based optimization algorithm)

（1） 数据源：随机产生752*8bit作为数据源 （2） 按照DTMB的能量扩散初始相位和生成多项式来产生伪随机数据并对原始数据源进行加扰 （3） 加扰后的数据直接进行解扰，观察误码率的值，验证加扰算法 （4） 按照DTMB标准构造BCH（1023，1013）来实现BCH（762，752）信道编码器和解码器，并观察其误码率是否为0来验证其正确性。 （5） 最后把能量扩散和BCH编码级联，接收端把BCH解码和解扰级联，观察其误码率，验证正确性。 ((1) Source: randomly generated 752* 8bit as data source (2) in accordance with the energy of the initial phase and the diffusion DTMB generator polynomial to generate a pseudo-random data and the original data source scramble (3) the scrambled data is directly descramble, the bit error rate of the observed values, verification scrambling algorithm (4) In accordance with DTMB standard configuration BCH (1023,1013) to achieve the BCH (762,752) channel encoder and decoder and observe its error rate is 0 to verify its correctness. (5) Finally, the energy dispersal and BCH coding cascade, the receiving end of the BCH decoding and descrambling cascade observed error rate, to verify the correctness.)