DeepLearnToolbox-master

基于MATLAB GUI的“滤波器设计软件”设计(MATLAB GUI-based filter design software design)

地铁火灾疏散模型 元细胞自动机 神经网络 BP 蚁群模型鱼群模型(Subway fire evacuation model meta-cellular automata neural network BP ant colony model fish colony model)

用凯瑟窗设计一个数字带通滤波器，设计指标为 低阻带：ws1=0.2pi,as=70dB, 低通带：wp1=0.35pi,ap=1dB, 高通带：wp2=0.65pi,ap=1dB, 高阻带：ws2=0.8pi,as=60dB( Kaiser window design with a digital band-pass filter design specifications for the Low resistivity zone: ws1 = 0.2pi, as = 70dB, Low-pass band: wp1 = 0.35pi, ap = 1dB, High-pass band: wp2 = 0.65pi, ap = 1dB, Impedance with: ws2 = 0.8pi, as = 60dB )

在matlab，传统的边缘检测直接调用edge函数，但是得到的边缘信息较稀薄，可以通过将sobel,roberts,prewitt三种算子的边缘检测叠加起来，并且对于连续的边缘部分拓宽，使得边缘更连贯清晰(In matlab, traditional edge detection edge direct call function, but thinner than the edge information can be obtained by sobel, roberts, prewitt three edge detection operator stack up, and for widening the continuous edge portion, so that the edge is more consistent clear)

噪声中正弦信号的现代法频谱分析，分析了自相关法、Burg法、协方差法和改进的协方差法对功率谱的影响以及阶数、信噪比、窗长度对自相关法频谱分析的影响。(The influence of autocorrelation method, Burg method, covariance method and improved covariance method on power spectrum and the influence of order, signal-to-noise ratio and window length on the spectrum analysis of sinusoidal signal in noise are analyzed.)

里面有关于MATLAB的基本使用的方法和定义，初学者可以好好的(There are on the basic use of MATLAB methods and definitions, can be good for beginners)

echo cancellation adaptive filter

清华大学博士论文仿真程序代码（电网计算）(Tsinghua University doctoral thesis simulation code (grid computing))

performs canny edge detection algorithm using matlab platform

The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations. 3. Convolve each image in the Gaussian pyramid with each orientation filter. 4. Combine the results of step 3 to create the Feature Map. 5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1]) to cluster candidate text regions together. 6. Create final output image with text in white pixels against a plain black background.