Colorsegmentation

此为灰色模型里的二次拟合预测GM(1,1)模型(This is a grey model of quadratic fitting prediction GM (1, 1) model)

matlab GUI中一个 简单的查询成绩(MATLAB GUI)

pe to snr for equalizer zfl and mmse for channel [1 .55]/norm([1 .55]) and tap=5

将梁分成9个单元，在中间受力，建立整体的刚度矩阵，建立整体模型。(The beam is divided into nine units, in the middle forces, the establishment of the overall stiffness matrix, the establishment of the overall model.)

bm3d图像去噪算法，3个文件 用于处理灰度图像(version 1.7 grey image)

Add Gaussian white noise (mean=0 and variance=0.05 ) to the image using imnoise command. Now use fftshift command to put all zero frequencies in the middle. Low-pass filter this function by applying a mask saving only the central Fourier coefficients. Set the mask width to 255 and create the filtered image.

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

说明：  用于压缩感知的各种稀疏变换基和观测矩阵，有具体的源程序，是用matlab编程的。(Compressed sensing for a variety of sparse matrix transform bases and observations, a specific source is using matlab programming.)

基于MATLAB的GSM仿真，包含卷积、交织、调制、信道、解调、解交织、解卷积(MATLAB simulation based on the GSM, including convolutional, interleaving, modulation, channel, demodulation, deinterleaving, deconvolution)

首先录入一段音频，在通过matlab软件对该音频进行处理，识别出他的波峰波谷，频率变换，然后输出。(First, an audio input, matlab software through the audio processing, identify the peaks and valleys of his, frequency conversion, and output.)