IIR_DF_CF

改进的mallat算法，消除了频率的混叠，可以用于提取故障频率(Improved mallat algorithm, eliminating the frequency aliasing, the frequency can be used to extract the fault)

a sonar programing, radar

用Matlab实现简单的原图片在二值化下的人脸检测以及网络表格标记图像(Using Matlab achieve a simple binary original picture in the next face detection, and network forms Tagged Image)

it is used seperate framses from an video and to extract as jpeg images

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))

说明：  对ask fsk用matlab写出 并有图像(that is a good thing)

自己写的matlab图像处理入门学习资料，里面的例子很容易理解。(Write your own matlab image processing, entry-learning materials, which is easy to understand examples.)

Matlab source for conventional, SINR, Null-steering and minimum variance bemforming in 8 sensors

这是对图像进行增强处理，可以用MATLAB运行，需要的可以拿去参考(This is the image enhancement process, you can run with MATLAB, you can take the required reference)

最小围长为10的LDPC码构造算法，能构造高性能的LDPC码字(this program can generate high performance LDPC with the min girth is 10)