Program_lpgpca

说明：  神经网络进行产量的Matlab源代码 BP 神经网络用于预测 (Neural network output of Matlab source code for BP neural network to predict)

一种比较简单的蚁群算法的matlab实现，包括完整的代码(A relatively simple ant colony algorithm matlab implementation, including the complete code)

说明：  麦克风阵列的TLS自适应波束形成算法仿真，麦克间距和输入信号带宽可调，通过调整参数达到需要的输出(microphone array of adaptive beamforming TLS algorithm simulation, Mike spacing and adjustable input signal bandwidth. by adjusting the parameters of the needs of the output)

基于MATLAB设计巴特沃斯低通滤波器MATLAB design Butterworth low-pass filter(MATLAB design Butterworth low-pass filter)

使用迭代式阈值算法来提高图像对比度。可以指定某个色阶作为阈值，所有比阈值亮的像素转换为白色；而所有比阈值暗的像素转换为黑色。 (The use of iterative threshold algorithm to enhance image contrast. You can specify a color scale as the threshold, all pixels lighter than the threshold into white and all pixels darker than the threshold value is converted to black.)

It detects white pixels in a real time video

电力电子应用技术MATLAB仿真，供初学者学习初级仿真学习 (The application of power electronics technology, MATLAB simulation, for beginners to learn the primary simulation study)

This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model. A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation. alpha_n = frac{pi(n-0.5)}{2M} and eta_n = frac{pi n}{M}, results in the following model, usually termed the Dent model or the modified Jakes model: R(t,k) = sqrt{frac{2}{M}} sum_{n=1}^{M} A_k(n)left( cos{eta_n} + jsin{eta_n} ight)cos{left(2pi f_d t cos{alpha_n} + heta_{n} ight)}. The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases ,! heta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.

有借鉴意义哦，小波包分析提取振动信号中的特征频率，计算晶粒的生长，入门级别程序。( There are reference Oh, Wavelet packet analysis to extract vibration signal characteristic frequency, Calculation of growth, entry-level program grain.)

局部均值分解(Local Mean Decomposition)，处理非线性非平稳信号的一个方法，LMD是依据信号本身的信息进行自适应分解(Local Mean Decomposition, a method for processing nonlinear non-stationary signals, LMD is adaptive decomposition based on the information of the signal itself.)