ARandWaveletclassifiy

PFC功率因素校正电路，基于乘法器的APFC(PFC power factor correction circuit, multiplier-based APFC)

Program for computing SNR loss in OFDM modulation

This code is used for extracting texture features in an image

matlab多机器人编程设计的程序，采用的是模糊逻辑算法，经检验有较好的效果(matlab robot programming design procedure, using a fuzzy logic algorithm, the test has a good effect)

Transmission of Voice Signal BER Performance Analysis of Different FEC Schemes Based OFDM System over Various Channels

object oriented handling example

用于求一个信号的斜率，通过构造一个滤波器来实现的，绝对正确。(For seeking the slope of a signal, to be achieved by constructing a filter, absolutely correct.)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

This code will find the best neural network by training a lot of times and calculating the MSE

This is some kind of graph program for pattern classification, namely HP (Hyper box).