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Digital Signal Processing-A Computer-Based Approach(Second Edition)Sanjit K.Mitra实验指导书练习题matlab程序(Digital Signal Processing-A Computer-Based Approach (Second Edition) Sanjit K. Mitra guide book Exercises experimental procedures matlab)

说明：  <<小波分析理论与matlab r2007实现>>教材中的源代码(&lt &lt Wavelet analysis theory and the realization of matlab r2007&gt &gt materials in the source code)

两个最近通信常用的数字调制技术的仿真,mpsk(two recent communication commonly used digital modulation technology simulation, mpsk)

《MATLAB神经网络30个案例分析》中的第28个例子，案例28 灰色神经网络的预测算法—订单需求预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 28 example, 28 cases of grey neural network prediction algorithm- order demand forecasting. Hope to have certain help to everybody! )

存在麦克风增益相位误差时候的宽带波束形成器设计,采用最小二乘方法来实现。 (Phase error exists when the microphone gain broadband beamformer design, using the least squares method to implement.)

MM320 queuing system simulation,This Code Simulates an M/M/1 Queueing System

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

此算法是Floyd算法和Dijkstra算法的过程，使用matlab的M文件格式。(This algrithm is Floyd and Dijkstra.)

生成反射系数的，希望对大家有帮助,是我们实验室用做地震资料处理流程中合成地震反射系数用的，具体看程序就知道。(you can see chinese explane,)

Matlab是一个很好的大型数值计算软件。解释型的程序执行、即时的调试窗口、高效的矩阵运算、丰富的工具箱,使它成为了数值计算和科研工作的必备软件。虽然Matlab具有众多的优势,可是它的程序却很难完全摆脱Matlab环境运行,在界面功能上也效率低下,这些缺点我们在使用Matlab的同时,不免担忧自己的成果不能方便地对外发布。对Matlab的运行方式进行了分析,之后提出了Matlab和VC高级语言之间混合编程的方法,以及Matlab程序独立打包和如何提高Matlab程序的界面运行效率的方法。 更多还原 (Matlab is a nice large numerical software. Explain the type of program execution, real-time debug window and efficient matrix operations, rich toolbox, making it the numerical calculations and research work necessary software. Although Matlab has many advantages, but it is difficult to completely get rid of the program running Matlab environment, the interface functions inefficient, these shortcomings in the use of Matlab while we can not help but worry about their results can not easily be released. For Matlab operation mode are analyzed, and then propose a hybrid programming approach between Matlab and VC-level language, and Matlab program independent packaged and how to improve the operational efficiency of the Matlab interface procedures. More Restore)