Characteristics-of-neuronal-cells

用于学PID控制　优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题 (Used to learn PID control Optimization problem is industrial design frequently encountered in question, many problems finally all boils down to optimization problems)

说明：  用于验证时域采样定理，进一步理解和使用采样定理(Used to verify the time-domain sampling theorem )

说明：  正交匹配追踪，对MP的改进，实现信号的稀疏分解(Orthogonal matching pursuit, the improvement on the MP and the signal is sparse decomposition)

利用灰色预测，经matlab编程，求出未来几年出版每门课程市场占有率情况，并进行级比检验、残差检验(Gray prediction by matlab programming, find the next few years, the market share of each course publishing, and to carry out class ratio test, residual test)

正则化光流法的应用程序，用于图像处理，提取图像信号，并与傅里叶变换做对照(Regularization optical flow method application for image processing, to extract an image signal, and the Fourier transform as control)

用MATLAB做SVPWM仿真分析，三电平SVPWM仿真模型(MATLAB do SVPWM simulation analysis, three-level SVPWM simulation model)

室内指纹定位算法，内有NN,KNN,WKNN多种算法进行对比，可运行，有注释。(Indoor fingerprint localization algorithm with NN, KNN, WKNN comparing various algorithms, can run, with comments.)

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

基于小波神经网络辨识的PID神经模型源程序(wavelet-based neural network identification of the source of PID neural model)

说明：  一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道(A relatively complete OFDM communication system simulation design, including coding, modulation, IFFT, up and down conversion, Gaussian channel)