SCAN

说明：  MATLAB实现语音信号加噪，设计滤波器实现去噪，包括低通，高通，带通(Realization of Speech Signal Noise and Denoising by MATLAB)

修改pe文件的c程序,用于破解C文件加密狗等等(the source c++ for pe file)

利用ewb实现二倍频的电路-Ewb realize the use of frequency-doubling of the Second Circuit

LL（1）文法的识别，和LL（1）分析表的构造(Recognition of LL(1) Grammar and Construction of LL(1) Analysis Table)

说明：  VERILOG FPGA .................QUARTUS

说明：  变分模态分解的整体框架是变分问题，使得每个模态的估计带宽之和最小，其中假设每个“模态”是具有不同中心频率的有限带宽，为解决这一变分问题，采用了交替方向乘子法，不断更新各模态及其中心频率，逐步将各模态解调到相应的基频带，最终各个模态即相应的中心频率被一同提取出来(The whole framework of variational mode decomposition is variational problem, which makes the sum of the estimated bandwidth of each mode minimum. It is assumed that each "mode" is a finite bandwidth with different center frequencies. To solve this variational problem, the alternating direction multiplier method is used to update each mode and its center frequency continuously, demodulate each mode to the corresponding fundamental frequency band step by step, and finally each mode is called the first mode The corresponding center frequencies are extracted together)

说明：  描述一个卡尔曼滤波问题需要两个模型，一个是描述系统的状态方程，一个是观测方程，观测量通过观测方程与状态变量建立联系，由观测量估计状态值。与其他频域滤波器不同，卡尔曼滤波器不需要观测和估计的历史记录，可以直接在时域进行设计和使用，是一个时域滤波器，适用于处理实时数据。 对于一个运动模型，建立卡尔曼滤波模型，进行仿真，设已知初始时刻运动目标的真实位置和速度，并已知卡尔曼滤波使用的初始状态值，对该问题给出仿真；进一步分析该问题的稳态卡尔曼解，直接使用稳态卡尔曼滤波（滤波器）仿真该问题。 提供了Matlab源代码，代码中有注释和画图，非常详细。(For a motion model, the kalman filter model is established for simulation. The real position and velocity of the moving target at the initial moment are known, and the initial state value used by the kalman filter is known. The steady-state kalman solution of the problem is further analyzed and the problem is directly simulated by steady-state kalman filter (filter). Matlab source code is provided, the code has comments and drawings, very detailed.)

映瀚通IR615路由器的产品规格书 映瀚通IR615路由器的产品规格书(inhand Product specification of a router)

无起摆，单纯180度倒立稳定，2个PID闭环控制采用编码器位置环和电机速度环(No pendulum, simple 180 degree inverted stability)

说明：  Xilinx CORDIC 算法 MATLAB Verilog仿真(arctan.m Kn.m sin_cos.m MATLAB Verilog)