16QAMmodanddemod

利用Matlab编程实现对lena.bmp灰度图象进行QF=50和QF=40的压缩和解压缩，比较二者的PSNR，并且利用霍夫曼编码模拟信道中传输图象。通过了Matlab2009A测试。(Using Matlab program to compress and decompress the gray image Lena.bmp at QF = 50 and QF = 40,as well as comparing the result of two situation.Then using Huffman coding analog channels transmitted images. Adopted Matlab2009A test.)

induction machine detection fault

遗传算法用于函数拟合与模式识别的Matlab示例程序 (Genetic algorithm for function fitting and pattern recognition procedures Matlab Example)

说明：  信道均衡的仿真，预置式均衡滤波器，通过均衡看均衡前后的误码率(Simulation of channel equalization, preset EQ filter, through a balanced look at the bit error rate before and after equilibrium)

Feedback response algebraic controller

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

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数字信号处理－理论、算法与实现 一书中所涉及到的绝大部分算法。 Dsp_c C语言编写的算法程序。 Dsp_fortran FORTRAN语言编写的算法程序。 Dsp_matlab用MATLAB编写的信号处理程序，包含本书各个章节的 大部分例题。(" Digital Signal Processing- Theory, Algorithm and Implementation of a book related to most of the algorithm. The DSP_C C language algorithm. Dsp_fortran FORTRAN language written algorithm. Dsp_matlab prepared using MATLAB signal processing procedures, including most of the examples of the various chapters of the book.)

拉格朗日插值，牛顿插值，用于计算插值，得到相应的插值函数(lagrange caculation)

simulatin of short shant dc motor in matlab simulink by a very simple way