dct

这个源程序代码包提供了通信系统中BPSK,QPSK,OQPSK,MSK,MSK2,GMSK,QAM,QAM16等调制解调方式 用matlab的实现，以及它们在AWGN和Rayleigh信道下的通信系统实现及误码率性能(The source code package provides a communication system in BPSK, QPSK, OQPSK, MSK, MSK2, GMSK, QAM, QAM16 manner, such as modulation and demodulation matlab realization, as well as their in AWGN and Rayleigh fading and realize the communication system error rate performance)

利用fisher方法实现手写体数字多分类识别，采用mnist数据集(simple program using fisher)

simulation de la commande MLI pour un onduleur ( toute les MLI )

求根music算法+最小范数music算法 DOA估计(music algorithm)

到达时间差定位技术TDOA之chan算法(Time Difference of Arrival chan algorithm of TDOA location technology)

HORN ANTENNA FDTD CODE IN MATLAB 2D STRUCTURE

基本的直流微电网下垂控制，可以实现在孤岛运行模式下的电压-功率控制(DC Droop control)

基于种子点的区域增长算法 Matlab (Matlab seed region growing)

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. Each of these steps is a field unto itself, and is described briefly here in the context of a Matlab implementation of OCR.