Orthogonal

LPC design for OFDM modulation (LPC design for OFDM modulation)

数字图像处理matlab实现，包括如下程序： 1.直方图规定化为高斯双峰函数 2.窗口形状自适应（十字形或矩形）的中值滤波 3.彩色图像目标提取并与背景图像合成 4.插值外推法的彩色图像饱和度调整 5.多种插值方法实现的图像放大和缩小 6.频域变换及分析 7.几何校正 8.插值外推法的黑白图像对比度增强 9.运动模糊矫正(Digital image processing matlab realize, including the following procedures: (1) the bimodal histogram specification as a function of two Gaussian shape adaptive window (cross or rectangular) median filtering three color image with the background object extraction and image synthesis 4. Color image interpolation extrapolation saturation adjustment 5. various interpolation methods to achieve images zoom in and out 6. frequency domain transformation and analysis 7. geometric correction 8. interpolation extrapolation of the black and white image contrast enhancement 9. motion blur correction)

WSN simulator based on matlab

说明：  使用buck变换器实现最大功率点跟踪MPPT，给电池充电。(Use the buck converter to realize the maximum power point tracking MPPT and charge the battery.)

说明：  灰色预测模型matlab实现此模型可以做一些长期的预测(Gray prediction model matlab can do this model to achieve some long-term forecast)

用稳定边界法整定公式来求P,PI,PID的个参数，其中G是已知被校正系统的开环传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量Gc为校正器传递函数，p为系统开环极点的个数（不计重根个数，即多重根只计一个根）(With the Stable Boundary tuning formula seeking P, PI, PID' s parameters, of which G is known to be corrected and the system of open-loop transfer function, kp is proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters Gc for the corrector transfer function, p is the number of poles of open-loop system (excluding the number of multiple roots, that is a multiple root only to the root))

说明：  小波变换图像增强程序。以及非线性的处理程序。 MATLAB编译环境。(Wavelet transform image enhancement program. And non-linear process. MATLAB compilation environment.)

detection voice used matlab. detec voice piano,organ...

这是亮度人脸检测的matlanb 源代码实现，很好(This is the brightness of the Face Detection matlanb source code to achieve good)

This code implements the algorithm described in the paper: Blind deblurring using internal patch recurrence by Tomer Michaeli and Michal Irani