我需要为我的学期项目使用 matlab 实现一个自适应增量调制编码器和解码器。如何编写良好的自适应增量调制？如何更改delta（或sigma）以更好地跟随语音信号？之后如何解码以恢复原始信号？我正在使用具有该主要思想的算法：如果三个连续的样本相等，我将 delta 增加一个常数k。它很有用，但还不够。

这是用于自适应增量调制的代码：

    function [ cn ] = adm_enc( signal )
delta_min = 0.6250/5; % minimum step size
k=1.5; 
m = 0.85
% scaling constant
L = length(signal);    % length of input signal
Mq = zeros(1,L);   %aproximated or quintized signal     
dq = zeros(1,L);   %quantized error or difference between original signal and aproximated signal 
cn = zeros(1,L);   %encoded output as a binary signal
delta=ones(1,L);   
for n=2:L

    d = signal(n) - Mq(n-1); % error or difference between input (original) signal and approximation
    if d>0  % if error is greater than 0
        dq(n)=delta_min; % equate output to delta_min
    else
        dq(n)=-1.*delta_min; % equate output to -delta_min
    end

    if dq(n)==dq(n-1) && dq(n-1) == dq(n-2) % if two previous outputs are equal
        delta(n)=k.*delta(n-1); % scale step size
    else
        delta(n)=delta_min; % otherwise equate output to min step size
    end
     Mq(n) = Mq(n-1) + delta(n).*dq(n); % calculate approximation signal
end
for i=1:length(cn) % encode the output as a binary signal
    if dq(i)==delta_min
        cn(i)=1;
    else
        cn(i)=0;
    end
end


end

用于自适应增量解调（解码过程）的代码：

function [ signal ] = adm_dec( cn )
delta_min = 0.6250/5;   % minimum step size
L = length(cn);     % length of input signal
k=1.5;        % scaling constant

signal = zeros(1,L);  % initializations
delta=ones(1,L);
for i=1:length(cn) % decode binary input as output of adm
    if cn(i)==1
        Mq(i)=delta_min;
    else
        Mq(i)=-1.*delta_min;
    end
end
for n=2:L

    if Mq(n)==Mq(n-1) % if two sequential input values are equal
        delta(n)=k.*delta(n-1); % scale step size
    else
        delta(n)=delta_min; % otherwise equate step size to min step size
    end
 signal(n) = signal(n-1) + delta(n).*Mq(n); % calculate output of adm
end
end

在解码过程之后，我使用 alowpass filter来去除不需要的高频谐波。