IEEE802.15.4a

matlab simulink for automatic controler

利用回溯算法解决组合问题。构造虚拟二叉树，采取深度优先搜索方式得到解。(Backtracking algorithm to solve combinatorial problems. Construct a virtual binary tree, the depth-first search to get the solution.)

to play audio wave file with coding

广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止(Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algorithm, first noise parameters and model parameters to the initial value, then the first step is to assume that the noise parameters are known, with the smallestsquares to estimate the model parameters, and the second step, and then the latest model parameters to estimate the noise parameters, and so on until the identification accuracy specified requirements or available data is used up)

harris角点检测的matlab源码，毕业设计用的，保证好使(harris corner detection matlab source, graduating ensure so that)

matlab实现一些模式识别的基础算法，方便初学者学习和实践(matlab the basis of pattern recognition algorithm, easy for beginners to learn and practice)

特别好的matlab学习资料，适合初学者阅读学习，特别清晰(Particularly good matlab learning materials, suitable for beginners learning to read, particularly clear)

最小方差自校正调节器matlab程序。运用最小二乘法，可设定遗忘因子。(Minimum variance self-tuning regulator matlab program. Least square method, you can set a forgetting factor.)

随机森林 MATLAB版算法，可以运行，能较好的实现分类算法，只是速度有点慢(Random forest MATLAB version of the algorithm can be run, better classification algorithms, but the speed is a little slow)

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)