signal-piex

说明：  利用迭代法 实现图像的分割，突出感兴趣的部分以便研究(Iterative method used to achieve image segmentation, in order to highlight the interesting part of the study)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )

中文信息处理中文信息处理中文信息处理中文信息处理(ss)

guassian band reject filter

GPUBench Matlab Code

Given an output function f(x) and a cost function J(x) (and gradients), optimal inverse functions are found which produce the input x* with the lowest cost based on the current desired output. Output and cost functions produce a scalar. The method is demonstrated on 2D problems (for convenient visualization). With 2D plots removed (all but Figure 41), the code can run higher dimension systems also.

此程序用提升法实现第二代小波变换 用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同）(This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of transformation steps, then over are: split, predict, update inverse transform: Update, forecasting, consolidation only a layer of ( can be multi-layer, and each prediction and update equations are different))

说明：  是一本关于matlab程序设计语言的电子书,是由西安电子科技大学出版社出版的(Is one on the matlab programming language for e-books, by the Xi)

ZIGZAG扫描MATLAB代码，具体内容请参考代码文件(for ZIGZAG)

Script for computing BER with Binary Convolutional Code and Viterbi decoding with finite survivor state memory and variable traceback depth Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision decoding is used.