Fuzzy_washingMachine

实现一个数字信号处理的仿真系统 。具有界面并实现以下功能：能产生（得到）并选择各种数字信号（sin、方波、三角波、语音、噪声及其叠加）；具有DFT和DCT变换功能，对各种信号进行变换；设计滤波器实现低通、高通、带通滤波，得到输出信号的频域特性和时间序列。(the realization of a digital signal processing simulation system. Requires interface and achieve the following functions: to produce (to be) and select a variety of digital signal (sin, square, triangle wave, voice, noise, and overlay)with DFT and DCT features a variety of signals transform Filter Design low pass, high pass, band pass filter, the output signal of the frequency domain to get the features and time series.)

针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of the problem that the traditional alpha beta filtering algorithm is not effective in tracking the maneuvering target, the internal reason is analyzed in detail, and an improved alpha beta filtering algorithm is proposed. In this algorithm, the maneuvering model of the target is not assumed, but the maneuvering acceleration of the target is estimated directly as the filter state, and the estimated acceleration is introduced into the state estimation equation of the traditional alpha beta filter to track the maneuvering target in the state estimation equation of the traditional alpha beta filter. Then compared with the traditional alpha beta filtering algorithm, it is proved that the new algorithm not only has the advantages of small computation in the traditional algorithm, but also can track the maneuvering target in real time. The simulation results show that the new algorithm is superior to the traditional algorithm in terms of comprehensive performance.)

说明：  考虑网络约束、天然气节点约束、潮流约束的电-气耦合互补系统的最优出力情况(The optimal output of the electricity-gas coupled complementary system considering network constraints, natural gas node constraints, and power flow constraints)

Ini adalah kode pada matlab untuk melakukan proses perekaman suara

利用小波分析对污染信号进行去噪处理以恢复原始信号(Signal by wavelet analysis denoising of pollution to restore the original signal)

function run_length encoding

说明：  这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。(Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction.)

IMM implementatino with matlab, with an example

说明：  function [bestsole,bestpop]=ga_scomplex(num,bounds,ps,pc,pm,b,dtc) % GA＿scomple是基于浮点编码的单纯形遗传算法主程序 % num定义种群数量 %　bounds定义参数取值范围，格式为[Var1min,Var1max;Var2min,Var2max;…….]; %ps选择概率 %pc交叉概率 %pm变异概率 %b　变异程度系数 %dtc　迭代次数 % $Date: 2005/5/25 $(funzione [bestsole,bestpop]=ga _scomplex (num,limites,ps,pc,pm,b,dc) % GA 655343;scomple;;;;;; % num % limits23450;[Var1min,Var1max;Var2min,Var22min;;;;;]; %ps %pc %pm %b _ %dtc _ % $Data: 2005 /5 /25 $)

块对角化算法实现子函数，输入信道信息，输出各用户的预编码向量(BD for MU-MIMO)