Add missing asm and ass

Author: JingweiToo

jAbsoluteValueOfTheSummationOfExpRoot.m

@@ -0,0 +1,17 @@
+%[2018]-Pattern recognition of electromyography signals based on novel
+%time domain features for amputees’ limb motion classification" (3)
+
+function ASM = jAbsoluteValueOfTheSummationOfExpRoot(X,~)
+K = length(X); 
+Y = 0; 
+for n = 1:K
+  if n >= 0.25 * K  &&  n <= 0.75 * K
+    exp = 0.5;
+  else
+    exp = 0.75;
+  end
+  Y = Y + (X(n) ^ exp);
+end
+ASM = abs(Y / K);
+end
+

jAbsoluteValueOfTheSummationOfSquareRoot.m

@@ -0,0 +1,8 @@
+%[2018]-Pattern recognition of electromyography signals based on novel
+%time domain features for amputees’ limb motion classification" (1)
+
+function ASS = jAbsoluteValueOfTheSummationOfSquareRoot(X,~)
+temp = sum(X .^ (1/2));
+ASS  = abs(temp);
+end
+

jfemg.m

@@ -1,12 +1,12 @@
-% Feature Extraction Toolbox by Jingwei Too - 11/12/2020
+% Feature Extraction Toolbox by Jingwei Too 
 
 function feat = jfemg(type,X,opts)
 switch type
   case 'fzc'    ; fun = @jNewZeroCrossing;
   case 'ewl'    ; fun = @jEnhancedWaveLength;
   case 'emav'   ; fun = @jEnhancedMeanAbsoluteValue;    
-  case 'ass'    ; fun = @jAbsoluteValueOfTheSummation;
-  case 'asm'    ; fun = @jAbsoluteValueOfTheSummationOfSquareRoot;
+  case 'asm'    ; fun = @jAbsoluteValueOfTheSummationOfExpRoot;
+  case 'ass'    ; fun = @jAbsoluteValueOfTheSummationOfSquareRoot;
   case 'msr'    ; fun = @jMeanValueOfTheSquareRoot;
   case 'ltkeo'  ; fun = @jLogTeagerKaiserEnergyOperator; 
   case 'lcov'   ; fun = @jLogCoefficientOfVariation;