toolbox_graph

遗传算法的程序实现，已编成软件了，Delphi语言编写的(Genetic algorithm program, compiled software, Delphi languages)

本程序主要用于DDS算法的验证,可以生成正弦波，占空比可调的方波，三角波；其中频率控制字可调，生成波形的频率也可调。(This procedure is mainly used for verification DDS algorithm, can generate sine wave with adjustable duty cycle square wave, triangle wave including adjustable frequency control word to generate adjustable frequency waveform.)

基于matlab的温度场模拟，相关人员可以参考尝试看看。(Matlab-based simulation of temperature field, related personnel can refer to try.)

matlab学习书籍 内容讲述详细 包括最近比较先进的一些算法(Matlab learning books content described in detail including some recent algorithms more advanced)

contains OFDM technique and AWGN channel acts as noise

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

modern operating systems (clear edition) three chapters

The code consitst of QAM-desicion code, and implementation of adaptive filtering with vary equalizer length and delay of desired signal

多径信道matlab模拟器 可模拟高斯白噪声(Matlab multipath channel simulator can simulate the Gaussian white noise)

在Matlab中实现kalman滤波的软件仿真方法，程序简明易懂(in Matlab achieve Kalman filtering software simulation methods, and procedures are simple and easy to understand)