资源列表
PWM-motor-control
- 基于c51 的PWM电机调速程序和仿真，带速度显示，lcd1602显示器-PWM motor control
mingfan
- 基于互功率谱的时延估计，窗函数法设计一个数字带通FIR滤波器，感应双馈发电机系统的仿真。- Based on the time delay estimation of power spectrum, A window function design FIR digital band-pass filter, Simulation of doubly fed induction generator system.
menmie
- 计算互信息非常有用的一组程序,包含收发两个客户端程序，计算两个矩阵之间的欧氏距离。- Mutual information is useful to calculate a set of procedures, Transceiver contains two client programs, Calculation of the Euclidean distance between the two matrices.
mengnao
- 各种kalman滤波器的设计，线性调频脉冲压缩的Matlab程序,快速扩展随机生成树算法。- Various kalman filter design, LFM pulse compression of the Matlab program, Rapid expansion of random spanning tree algorithm.
maokan
- 一个计算声子晶体结构的一维传递矩阵法,在MATLAB中求图像纹理特征，Relief计算分类权重。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, In the MATLAB image texture feature, Relief computing classification weight.
maogou_v57
- FIR 底通和带通滤波器和IIR 底通和带通滤波器，脉冲响应的相关分析算法并检验，仿真效率很高的。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Related impulse response analysis algorithm and inspection, High simulation efficiency.
4-4
- 很简单的Python实现的凯撒加密解密，是计算机基础课程中的一道作业。用队列实现。-Very simple Python implementation Caesar encryption and decryption is a basic computer course in a job. With queue implementation
Rental-Car-management-system
- Car Retal Syste,Mysql
p5601
- matlab robotics toolbox画出运动轨迹，画出各个关节角的变量图，得到关节空间规划轨迹，得到控制各个关节的输出力矩-matlab robotics toolbox 。Draw the trajectory of the joint, draw the variable graph of each joint angle, get the joint space planning trajectory, get the control output torque of each
JavaScript--and-html
- 用html和javascr ipt实现的二插树的遍历，包括前序遍历，中序遍历，后序遍历，按层遍历-The realization of the binary tree traversal, including the preorder traversal, inorder traversal ，postorder traversal, and breadth-first traversal.
GA_BP
- 基于GA-BP的对实验数据进行处理，从中找出最优解，希望对大家有用-Based on GA-BP on the experimental data processing and optimization, which to find the optimal solution, we hope to be useful
HMM
- HMM隐马尔科夫模型，用python语言实现，能够运行，需要安装相应的库。-HMM hidden Markov model, using python language, be able to run, you need to install the appropriate libraries.