diff --git a/Classes/04_DSP/Equalizer/ML_MLSE.m b/Classes/04_DSP/Equalizer/ML_MLSE.m
index 9c9a033..7ad2722 100644
--- a/Classes/04_DSP/Equalizer/ML_MLSE.m
+++ b/Classes/04_DSP/Equalizer/ML_MLSE.m
@@ -102,7 +102,7 @@ classdef ML_MLSE < handle
 
             % --- Parameters
             obj.S = numel(unique(D.signal));      % alphabet size
-            obj.Nf = obj.order;                    % filter length
+            obj.Nf = obj.order*obj.sps;                    % filter length
             % obj.delta = 3;%ceil(obj.Nf/2);         % delay parameter
             obj.nStates = obj.S^obj.L;
             obj.nFeasible = obj.nStates*obj.S;
@@ -195,8 +195,8 @@ classdef ML_MLSE < handle
                     k = symbol;
 
                     % --- Build Δ-delayed observation window y_k
-                    i1  = k - obj.Nf + 1 + obj.delta;
-                    i2  = k + obj.delta;
+                    i1  = sample - obj.Nf + 1 + obj.delta;
+                    i2  = sample + obj.delta;
                     buf = x(max(1,i1):min(length(x),i2));
                     padL = max(0,1 - i1);
                     padR = max(0,i2 - length(x));
@@ -327,15 +327,19 @@ classdef ML_MLSE < handle
                 end
 
                 [~, s_end] = max(pm);
-                viterbi_path = zeros(N,1,'uint32');
-                viterbi_path(N) = s_end;
-                for n = N:-1:2
+                viterbi_path = zeros(symbol,1,'uint32');
+                viterbi_path(symbol) = s_end;
+                for n = symbol:-1:2
                     viterbi_path(n-1) = pred(n, viterbi_path(n));
                 end
 
                 y_vit = obj.first_sym(viterbi_path);
                 y = obj.first_sym(viterbi_path);
 
+
+
+
+                
                 if 1 %debug || training
                     err = sum(y ~= d(1:length(y)));
                     ser = err./length(y);
@@ -354,7 +358,7 @@ classdef ML_MLSE < handle
 
                     subplot(2,2,4);
                     % scatter(1:N,pm_sto,1,'.')
-                    plot(1:N,pm_sto)
+                    plot(1:symbol,pm_sto)
                     title('Path Metric Winners')
                 end