HuntLinKulkarni-PredictingCourseGrades

用Matlab实现的图像边缘检测和分割的应用程序(Using Matlab to achieve the image edge detection and segmentation applications)

code is in matlab for object extraction

利用Matlab实现语音信号的数字水印技术.利用语音获取设备获取需要传送的保密语音信号；选择用于传输保密语音信号的普通声音载体；对加入水印信息的文件进行各种滤波处理，然后再对其进行水印提取，观察其结果；(Digital watermarking technology using Matlab voice signals using voice capture device to obtain confidential voice signals to be transferred Select common vector for the transmission of confidential voice speech signal adding watermark information on a variety of filtering files, and then its watermark extraction, observe the results )

model reduction - control theory

运用LS与MMSE进行信道估计仿真，并对两者的MSE进行比较(channel estimation simulation by ls and mmse ， to compare their MSE)

基于灰度匹配准则的图像匹配，能快速找出对应下帧图像中对应的图像(Matching criterion based on a grayscale image matching, can quickly find out the corresponding frame image in the image )

Prueba1 FletcherReeves Hernández Santiago José Maestría en Ciencias de la Computación Septiembre / 2011 1. Comenzar con un punto arbitrario 2. Calcular Gradiente de Fi 3. Si el Gradiente Fi es igual a 0(converge), termina 4. Si el Gradiente Fi es !=0 continuar 5. Encontrar dirección de búsqueda Si= -GradienteFi= - Gradiente F(Xi) 6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Hacer i=2 8. Obtener Gradiente Fi 9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1) 10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Verificar Optimalidad de X(i+1) Si es optimo, detener Si no es optimo hacer i=i+1 e ir al paso 8

Scaling between two number ranges

Adaptive noise removal filter for both grayscale and color images

介绍了几类常用的MUSIC算法MATLAB程序参考(MUSIC algorithm MATLAB program,)