Cosamp.m

阵元数16下均匀圆阵的零限形成，先建立约束函数，再创建目标函数，计算零陷(Element number 16 under the Uniform Circular Array of zero-threshold shape, to create constraint function, and then create the objective function, calculated Null)

matlab仿真经典书籍,包括各种仿真程序，数值计算和各领域的仿真应用，详尽经典(matlab simulation of the classic books, including simulation program, numerical computing and simulation applications in various fields, detailed classic)

Simulink小问题集锦 值得一看！(Simulink allehanda see a small problem!)

可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

一个用于计算任意层数平板波导slabexec主程序源码，readme中有程序源码使用的详细说明。能计算任意层数的平板波导结构的有效折射率，光场分布与远场分布。(An arbitrary number of layers used to calculate the slab waveguide slabexec main source, readme in the program source code using the detailed instructions. Can calculate an arbitrary number of layers of the structure of the effective refractive index slab waveguide, the light field distribution and far-field pattern.)

it is a music player. simple music player code that accepts and plays mp3 files also, due to built in codec support

Default constructor MyString::MyString() { m_szString = NULL m_aSize = 0 cout << "Default constructor from my sting " }

说明：  采用matlab 编写的DEA综合评价方法(using Matlab prepared by the DEA comprehensive evaluation method)

ica的算法，独立成分分析，剔除噪声，数据处理(ica algorithm, independent component analysis, eliminate noise, data processing)

Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data. It is inspired by the human brain"s apparent deep (layered, hierarchical) architecture. A good overview of the theory of Deep Learning theory is Learning Deep Architectures for AI