doa

Neural Networks for compress-Decompress and character recognition.

參考文獻「Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary」and matlab code.(「Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary」and matlab code.)

说明：  Matlab Simulink仿真程序，用来实现光伏电池的能量管理。(Matlab Simulink simulation program is used to realize the energy management of photovoltaic cells.)

MATLAB程序设计教程的源代码,适合初学matlab的同学使用(MATLAB programming tutorial, source code, suitable for beginners Matlab students to use)

Content based image retrieval using color histogram and shape

详细介绍了matlab中声声音录制、读写与播放的语句描述 (Described in detail the description of Matlab acoustic sound recording the statement, read and write and play)

Analysis and Augmented Spatial Processing for Uplink OFDMA MU-MIMO Receiver under Transceiver IQ Imbalance and External Interference

根据语音频谱分析和频谱图显示的原理与算法，用MATLAB实现一种可在PC机上实现的信号频谱分析与频谱图伪彩色映射显示的方法。(According to voice spectrum analysis and spectrum diagram shows the principle and algorithm, using MATLAB to achieve a realization of machines in the PC spectrum of the signal frequency spectrum analysis and pseudo-color map display method.)

mcm 论文This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename(mcm outstanding This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename)

盲源分离的自适应在线学习方法，采用最大熵，四个源信号，四个混合信号和自然梯度方法(Adaptive online learning method for blind source separation using the maximum entropy, four source signals, four mixed-signal, and the natural gradient method)