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matlab编写的white noise的fft变换(matlab prepared fft transform of white noise)

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

this matlab code denoise the pink noise from pcg signal and generate the specogram

2017年0616，该频域分解（FDD）土木工程中的一个输出系统识别技术的流行，特别是在结构健康监测。作为一个输出的算法，它是有用的当输入数据是未知的。FDD是模态分析技术，生成系统的实现采用了频率响应（多）输出数据参考。所附的MATLAB代码实现了这一技术的模态参数识别。为了使用此代码，处理（趋势、过滤等）时间的历史数据必须存储在一个Excel文件（数据每一频道栏目）。检查“加速度。对于时间的历史文件的一个实例xlsx”。(In 2017, 0616, frequency domain decomposition (FDD), an output system in civil engineering, was popular in identification technology, especially in structural health monitoring. As an output of the algorithm, it is useful when the input data is unknown. FDD is a modal analysis technique, and the implementation of the system adopts a frequency response (multiple) output data reference.)

this program about image processing

conventional inverse rate matching for LTE-A

MATLAB图像处理源文件，每章节的对应matlab源代码已整理好，可对应ppt和视频配套学习(MATLAB image processing source files, each chapter corresponds matlab source code has been collated.)

Matlab工具包，包含了支持向量机和核函数的工具包，可直接调用(Matlab toolkit, including support vector machine SVM and kernel function tool kit, can be called directly )

这个有中文注释，看得明白，采用的是通用的平面波展开法,主要是基于mtlab的程序。( The Chinese have a comment, understand it, Using common plane wave expansion method, Mainly based on the mtlab procedures.)

迭代加权二范数算法,又称FOUCSS，一种求解基于p范数的压缩感知模型算法(FOCUSS algorithm)