PSO

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

三相零式半波 可控硅整流器 电力电子技术基础例程(Three-phase half-wave Zero silicon-controlled rectifier power electronics technology foundation routine)

matlab编写的MIMLBoosting算法，其中包括实现算法的函数，还有可作为示例的数据和主程序，可以运行，可以对多示例多标记样本进行分类，并计算正确率等多个指标。(MIMLBoosting algorithm matlab prepared, including the implementation of the function of the algorithm, as well as examples of data and the main program, you can run, you can multi-instance multi-label classification of samples and calculate the number of indicators, such as the correct rate.)

利用虚拟激励法模拟随机波浪，计算海洋平台的稳态响应(The use of virtual simulation of random wave excitation method to calculate the steady-state response of offshore platforms)

等半径泊车方法仿真代码，实现等半径泊车算法的仿真，车辆参数如车长、车宽、转弯半径以及车位参数如长度、宽度均可调。(Simulation code radius ranging from parking way a radius ranging from parking the simulation algorithm, vehicle parameters such as vehicle length, vehicle width, turning radius and parking parameters such as length, width can be adjusted.)

电话拨号音的合成与识别 基于对电话通信系统中拨号音合成与识别的仿真实现，主要涉及到电话拨号音合成的基本原理及识别的主要方法，利用 MATLAB 软件以及 FFT 算法实现对电话通信系统中拨号音的合成与识别。并进一步利用 MATLAB 中的图形用户界面 GUI 制作简单直观的模拟界面。使其对电话通信系统拨号音的合成与识别有个基本的了解。 能够利用矩阵不同的基频合成 0 － 9 不同按键的拨号音，并能够对不同的拨号音加以正确的识别，实现由拨号音解析出电话号码的过程。(Synthesis and recognition telephone dial tone Based on telephone communication system dial tone Simulation synthesis and recognition, mainly related to the basic principles of the main methods telephone dial tone synthesis and recognition, using MATLAB software and the FFT algorithm for synthesis and recognition telephone communication system dial tone. And further use of MATLAB graphical user interface is simple and intuitive GUI making analog interface. Synthesis and recognition make telephone communication system dial tone have a basic understanding. Can be different the fundamental frequency of matrix synthesis 0 9 dial tone different keys, and can be correctly identify different dial tone, dial tone achieved by the parsed telephone number of processes.)

Fixed-point for functions of several variables (Function fixed_point_systems(x0, N) approximates the solution of a system of nonlinear equations F(x) = (f1(x), f2(x), ..., fn(x)) = 0 rewritten in the fixed-point form x = G(x) = (g1(x), g2(x), ..., gn(x)). This is done by the user at the bottom of the file. The sub-function G(x) has to be updated accordingly with the given system. The iteration scheme x(k+1) = G(x(k)) is implemented until condition |x(k)- x(k-1)| < tol is met, starting with an initial approxiamtion vector x0. If, after N iterations, the stopping criterion is not reached, a message concerning the iterated x s is displayed. the output consists of iterates of each variables x1, x2, ..., xn in each column. )

MATLAB 程式设计与应用,语法及绘图(MATLAB Programming and Applications，Syntax and drawings)

This program makes it possible to generate a matrix of parity check LDPC with a constant weight of columns

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.