cancer

this is the DCT image compression code i have tried . i missed out 2 files while uploadin last time sorry :) hey guys i missed 2 files

matlab做回归分析必看的资料，里面有直线、曲线，一员多元分析具体实现方法(matlab to do regression analysis of data must see, there are lines, curves, more than one yuan of specific method)

matlab在数理统计中的应用，对学习matlab及数理统计人员均有很好的帮助(matlab in the application of mathematical statistics, matlab learning and statistics to help people have a very good)

FIR与IIR滤波器在DSP上的实现.　　　DSP是利用计算机或专用DSP处理器，以数字形式对信号进行采集、变换、滤波、估值、增强、压缩、识别等处理，以得到符合人们需要的信号形式。FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，又称为非递归型滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。(FIR and IIR filter is implemented on the DSP. DSP is the use of a computer or a dedicated DSP processor in digital form to the signal acquisition, conversion, filtering, valuation, enhancement, compression, recognition processing needs of the people to give signal form. FIR (Finite Impulse Response) filter: finite impulse response filter units, also known as non-recursive filters, digital signal processing system is the most basic element, it can guarantee any amplitude-frequency characteristics of both a strict linear phase-frequency characteristics, while the unit sampling response is of finite length, and thus the filter is stable system.)

用matlab程序实现生成gold序列，首先生成m序列，然后用两个m序列生成gold序列。(Matlab program generated by gold sequences, the first generation of m sequences, and then the two m sequence generated by gold sequences.)

说明：  针对粘土剑桥模型，开发了显式应力积分算法，用于模拟应力应变关系(For clay Cambridge model, an explicit stress integration algorithm is developed to simulate the stress-strain relationship)

说明：  动态矩阵控制MATLAB源程序，是基于阶跃响应的模型预测控制(Dynamic Matrix Control MATLAB source code is based on the step response of model predictive control)

molecular dynamics in two dimensions

该程序能够实现信号的离散傅里叶变换，且算法简单，容易实现。(The program enables the signal discrete Fourier transform, and the algorithm is simple and easy to implement.)

遗传算法求解多元函数优化问题，利用遗传算法经过50代左右求得函数的最优解。(Genetic algorithm for multi-function optimization problems using genetic algorithms to obtain the optimal solution of the function after about 50 generations.)