eeglab_current

实现高通和低通滤波，主要是先进行傅里叶变换，然后对频谱图滤波后再逆变换得到滤波之后的图片(High-pass and low pass filter, mainly the first Fourier transform, frequency spectrum and then inverse transform filter and filtered image)

说明：  1．编写欧拉前差、后差、梯形公式。 2．编写二阶、三阶龙格库塔法通用程序。 3．编写汉明积分法通用程序. 4．编写用状态转移法对连续系统状态方程进行离散化的通用程序。(1. Euler prepared before the poor, after the poor, trapezoid formula. 2. The preparation of the second order, third-order Runge-Kutta method common procedures. 3. Hamming integration method to prepare common procedures .4. Prepared by the state of the transfer method of continuous system discretization equation of state for the general program.)

基于MATLAB的GPS软件接收机捕获与跟踪算法实现(MATLAB-based software GPS receiver acquisition and tracking algorithm)

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods

particle filter on mimo ofdm system

In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory, and more specifically, on the properties of conditional Gaussian random variables. The criterion he proposed to minimize is the state vector covariance norm, yielding to the classical recursion : the new state estimate is deduced from the previous estimation by addition of a correction term proportional to the prediction error (or the innovation of the measured signal).

针对数字图片的各种攻击方法，使用Matlab编写。(Digital images for a variety of attack methods, the use of Matlab to write.)

C++0x library for parsing options/command line argument

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

School management system