shaoshuzheboyi

最经典的通信仿真教程：simulation of communication systems modeling methodology and techniques(Classic communication simulation tutorials: simulation of communication systems modeling methodology and techniques)

Channel estimation techniques for OFDM systems based on a pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel. Channel estimation at pilot frequencies is based on LS and LMS methods while channel interpolation is done using linear interpolation, second order interpolation, low-pass interpolation, spline cubic interpolation, and time domain interpolation. Time-domain interpolation is obtained by passing to the time domain by means of IDFT (inverse discrete Fourier transform), zero padding and going back to the frequency domain by DFT (discrete Fourier transform). In addition, channel estimation based on a block type pilot arrangement is performed by sending pilots in every sub-channel and using this estimation for a

学习采用Matlab程序产生正态分布的二维随机数 估计类均值向量和协方差矩阵的方法 类间离散度矩阵、类内离散度矩阵的计算方法(Learning using Matlab program to generate two-dimensional normal distribution random number estimated class mean vector and covariance matrix method class scatter matrix calculation method of class dispersion matrix)

Finally it is observed that by using this filter, the common mode noise level of 2MHz resonant converter is suppressed according to CISPR 22 standard limits

HOG（Histogram of Oriented Gradient）方向梯度直方图，主要用来提取图像特征，最常用的是结合svm进行行人检测。(HOG (Histogram of Oriented Gradient) direction of the gradient histogram is mainly used to extract image features, the most commonly used is a combination of svm detect pedestrians.)

the matlab toolbox of nspca

基于chebyshev的水声信号分析，最小均方误差（MMSE）的算法，多目标跟踪的粒子滤波器。( Based chebyshev underwater acoustic signal analysis, Minimum mean square error (MMSE) algorithm, Multi-target tracking particle filter.)

说明：  deep learning describes the process of deep learning by steps using Alex net dataset

this document is about baum-welch algorithm

matlab求解粒子群，属于0-1背包问题(matlab to solve the particle swarm, belonging to the 0-1 knapsack problem)