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數位訊號處理 在matlab下進行模擬的程式碼教學~好書推薦(Digital signal processing carried out under simulated in matlab code teaching ~ Good Books Recommended)

此函数实现含噪语音的信噪比的计算，以最小帧算法为基础。(Implementation of this function of the signal to noise ratio of noisy speech has calculated that, with the smallest frame-based algorithm.)

这是一个实值的Noiselet变换，压缩感知的图像应用中的的Noiselet观测矩阵 (1) This implementation uses exactly m*log2(m) additions/subtractions. 2) This is a real-valued variation of "dragon" noiselets. 3) This is symmetric and orthogonal. To invert, apply again and divide by m.)

说明：  瑞利信道的仿真源代码，比较实用。matlab仿真(asdsa)

利用matlab对无线传感器网络进行部署，并且部署了长方形的障碍物，模拟室内环境。(Using matlab to deploy wireless sensor networks, and deployed a rectangular obstacles, simulated indoor environment.)

介绍基于ＭＡＴＬＡＢ平台的可视化编程． 重点介绍了数据和函数的可视化．(Introduction Based on MATLAB platform visual programming. Focuses on data and function visualization.)

说明：  用于模糊控制率的求取，参照了李国勇书中的例子，在运行前，请将文件名改成英文格式(Fuzzy control rates for the strike, with reference to Li Guoyong book example of running before, please format the file name into English)

求解加噪信号的范数熵，本程序是选取单载频信号求解其范数熵(Solving the norm of the signal plus noise entropy, the procedure is to select a single carrier frequency signal solving its norm entropy)

模糊isodata算法matlab程序；fuzzyisodata的matlab程序。很好很实用。(fuzzyisodata program)

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)