f-score

基于matlab的DSP（数字信号处理）学习资料(Matlab based on the DSP (digital signal processing) study data)

基于暗原色先验的单一图像去雾算法 香港中文大学的一篇论文(dark channel prior dehazing single image dehazing using dark channel prior)

说明：  计算时滞微分方程的李雅普诺夫指数，动力学维数(Delay differential equations Lyapunov index calculation, dynamic dimension)

心音信号的DCT域变换压缩编码，LLoyld最佳量化与霍夫曼编码，利用心电R波进行分帧，在不到1 左右失真度的情况下达到了6.0以上的压缩比(Heart sound signals on DCT transform coding, LLoyld optimal quantization and Huffman coding, the use of ECG R wave sub-frame, less than about 1 in the case of distortion to achieve a compression ratio of more than 6.0)

c语言非线性最小二乘法的程序，解决非线性最小二乘法问题(The nonlinear least square method)

用MATLAB实现CCSDS_LDPC编码，并生成相应的校验矩阵H。压缩包内包含相应源程序以及CCSDS_LDPC编码原理的说明文档。(Using MATLAB CCSDS_LDPC coding, and generate the corresponding check matrix H. Compressed package that contains the corresponding documentation and CCSDS_LDPC source coding theory.)

通过虚拟阵元进行DOA估计，多目标跟踪的粒子滤波器，计算晶粒的生长，入门级别程序。( Conducted through virtual array DOA estimation, Multi-target tracking particle filter, Calculation of growth, entry-level program grain.)

《MATLAB控制系统仿真与实例详解》的附书光盘文件，包含各章的实例代码。(" MATLAB and Control System Simulation example explanation" of the CD-ROM with the book file, each chapter contains examples of code.)

VC运算速度较快，相对于matlab而言，编程较为烦琐，而matlab编程灵活，并且方很多工具箱，使用极为方便，但是matlab的M语言编写的仿真程序的仿真速度相对较慢。 C-MEX函数是基于C语言编写的C与matlab接口函数，是matlab应用程序接口的一个重要组成部分。通过它不但可以将现有的C语言编写的程序轻松地引入到matlab环境中使用，避免了重复的程序设计，而且可以使用C语言为matlab定制用于特定目的的函数(如为了保护算法设计等)， 以完成在matlab中不易实现的任务。此外，更重要的一点，使用C语言编写的C-MEX函数可以有效地提高M灯matlab环境中数据处理速度和效率。 (VC computing faster, compared to matlab, the program is more cumbersome, but matlab programming flexibility, and a lot of side toolbox, use very convenient, but the M-language matlab simulation program written in a relatively slow simulation speed. C-MEX function is based on the C language interface written in C and matlab functions matlab application interface is an important component. It can not only be through the existing programs written in C language easily introduced into the matlab environment, to avoid the duplication of programming, and can be customized using the C language for matlab functions for specific purposes (such as algorithm design, etc. in order to protect ), Matlab in order to complete the task is not easy to achieve. In addition, more importantly, the use of C language written in C-MEX function can effectively improve the M light matlab environment, data processing speed and efficiency. )

在matlab下编程使用jacket工具包进行GPU加速图像平滑算法，对900×900的图像平滑可达8倍多的加速比。需要jacket工具包及cuda toolkit。(In matlab programming toolkit used jacket GPU-accelerated image smoothing algorithm, the 900,900 image smooth acceleration up to 8 times more than that. Need jacket toolkit and cuda toolkit.)