GA-Tools-1.3

图像阈值分割程序，里面有好几个。运行ostu.m(Image threshold segmentation)

低密度效验码的解码过程。有部分注解。matlab环境下。(low-density well-tested code decoding process. Some notes. Matlab environment.)

该程序主要是应用常规波束形成对目标方位进行估计。(Application of conventional beamforming to estimate the target position.)

三电平VSC仿真，使用与初学多电平的人员，MATLAB仿真可运行，(MATLAB three level simulink)

通过MATLAB编程，将判别分析中引入模糊的概念，实现模糊判别分析算法(Through MATLAB programming, the fuzzy concept is introduced into the discriminant analysis, and the fuzzy discriminant analysis algorithm is realized.)

这是我自己编写的压缩感知图像重构的算法，用于学习，先稀疏，再观测系数，最后重建(This is your perception image compression algorithm used to study and review, thin, and observation of the reconstruction and )

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))

motion detctor code in a videooo

光学仿真设计，适用于初学者学习使用matlab进行光学仿真，基于Matlab的光学实验仿真(Optical simulation design, suitable for beginners to learn to use matlab optical simulation, Matlab-based simulation of optical experiments)

用matlab实现的一个文本语音转换程序(a text to speech program compiled by matlab language)