同伦法解方程

通过STM32读取AD7606程序 C语言编写(Read through STM32 AD7606 program, C language)

说明：  主要为matlab 2010 之前更改的dmod函数，用于ask，fsk，psk等数字信号的调制。(It is mainly DMOD function changed before matlab 2010, which is used for the modulation of ask, FSK, PSK and other digital signals.)

推箱子 ,一种智力游戏，用diphi 编的，东西还有，以后再传 -Sokoban, a kind of intellectual game, with diphi series, things have, after the send

FB41源飞飞哥哥发的哥哥哥了各个分地方(To pacify individual parties.)

说明：  Simulink中的混合动力汽车模型,仿真动力模型(Hybrid vehicle model in Simulink)

说明：  用simulink仿真有源滤波器，可完美运行，可用于参考学习(Simulating active filter with Simulink can run perfectly and can be used for reference learning.)

该程序实现的是种子生命的模拟，生存：有两个或三个邻居的种子将存活到下一代，即仍然占据该格子； 死亡：如果有四个或更多的邻居，种子将因为过度拥挤而死亡；如果种子只有一个或零个邻居，将因为孤独而死亡； 繁殖：如果一个空格子有三个邻居，那么将会长出一粒新种子。一种模式在经过若干代之后有以下四种可能的结局之一： 消亡； 不变――静态； 振荡――在一组模式间循环多次后在相同的位置出现相同的模式； 滑动――在一组模式间循环多次后在不同的位置出现相同的模式。该程序允许用户指定初始的模式或计算机自动创建初始的模式； 显示进化的过程，即历代模式； 当模式消亡就停止进化，或者提示用户是否继续显示下一代，或开始新的案例，抑或退出。 -The program implementation is the seed of life simulation, survival: There are two or three neighbors of the seed will survive to the next generation, that is still occupying the lattice Death: If there are four or more neighbors, the seeds will die because of overcrowding if seed is only one or zero neighbors, will die because of loneliness Breeding: If a sub-space has three neighbors, then it will grow a new seed. After a pattern after several generations have the following one of four possible outcomes: Die Constant- static Oscillation- a group of modes in the loop on many occasions in the same location after the same pattern emerged Sli

电力系统最小二乘法状态估计模型 状态估计(Power System Least Squares State Estimation Model)

说明：  cohen大神的OM-LSA仿真代码 MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement.(MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement. The algorithms are described in: I. Cohen and B. Berdugo, Speech Enhancement for Non-Stationary Noise Environments, Signal Processing, Vol. 81, No. 11, Nov. 2001, pp. 2403-2418. I. Cohen, Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging, IEEE Trans. Speech and Audio Processing, Vol. 11, No. 5, Sep. 2003, pp. 466-475. I. Cohen and S. Gannot, Spectral Enhancement Methods, in Jacob Benesty, M. Mohan Sondhi and Yiteng (Arden) Huang (Eds.), Springer Handbook of Speech Processing, Springer, 2008, Part H, Ch. 44, pp. 873-901)

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