dsp-builder

MATLAB函数，各种各样都有，而且按首字母分类(MATLAB functions, a variety of both, and classified by the first letter)

1.升余弦窗首尾8点数据值:12bit-> 1-1RAM_OUT_CNT_RN10 formal 采用移位相加的方式来取代相乘运算，节省资源。 (1 liter inclusive 8:00 cosine window data values​ ​ : 12bit-> 1-1RAM_OUT_CNT_RN10 formal using shift and add a way to replace multiplication, save resources.)

部分院校的数字信号处理的matlab的实验(Some institutions of digital signal processing matlab experiment)

cet algorithme est ecrit en matlab

These matlab files will simulate the pseudo-3D model of a fracturing process which is widely used process in petroleum industry and P3D model is widely used in that process.

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

这是一个粒子群优化算法在求函数极值方面的应用，以球函数为例，说明了PSO算法的可行性(Feasibility This is a particle swarm optimization algorithm to find function extreme aspects of the ball function to illustrate the PSO algorithm)

是mit 的经过翻译的关于matlab 的经典的课件(Mit the result is a translation of the classic on matlab Courseware)

Jacobi algorithm to solve linear problems

Code to obtain the filtering function polynomials F(s), E(s) and P(s), and the constants eps and eps_r from transmission zeros, with Cameron s method.