diff --git a/src/linalg/convolution.rs b/src/linalg/convolution.rs
index c3256180..b5f95d19 100644
--- a/src/linalg/convolution.rs
+++ b/src/linalg/convolution.rs
@@ -4,10 +4,11 @@ use crate::base::allocator::Allocator;
 use crate::base::default_allocator::DefaultAllocator;
 use crate::base::dimension::{Dim, DimAdd, DimDiff, DimSub, DimSum, DimName};
 use crate::storage::Storage;
-use crate::{zero, RealField, Vector, VectorN, U1, Matrix, MatrixMN, DMatrix};
-use crate::alga::general::Field;
+use crate::{RealField, Vector, VectorN, U1, Matrix, MatrixMN, DMatrix, Scalar, zero};
+use crate::alga::general::{ClosedMul, ClosedAdd, Identity, Additive};
+use crate::num::Zero;
 
-impl<N: RealField, D1: Dim, S1: Storage<N, D1>> Vector<N, D1, S1> {
+impl<N: Scalar + ClosedMul<N> + ClosedAdd<N> + Zero + Identity<Additive>, D1: Dim, S1: Storage<N, D1>> Vector<N, D1, S1> {
     /// Returns the convolution of the target vector and a kernel.s
     ///
     /// # Arguments
@@ -130,7 +131,7 @@ impl<N: RealField, D1: Dim, S1: Storage<N, D1>> Vector<N, D1, S1> {
     }
 }
 
-impl<N: RealField> DMatrix<N>  {
+impl<N:  Scalar + ClosedMul<N> + ClosedAdd<N> + Zero + Identity<Additive>> DMatrix<N>  {
     /// Returns the convolution of the target vector and a kernel.
     ///
     /// # Arguments
@@ -164,7 +165,7 @@ impl<N: RealField> DMatrix<N>  {
 
 }
 
-impl<N: RealField, R1: Dim + DimName, C1: Dim + DimName> MatrixMN<N, R1, C1> where DefaultAllocator: Allocator<N, R1, C1>  {
+impl<N:  Scalar + ClosedMul<N> + ClosedAdd<N> + Zero + Identity<Additive>, R1: Dim + DimName, C1: Dim + DimName> MatrixMN<N, R1, C1> where DefaultAllocator: Allocator<N, R1, C1>  {
     /// Returns the convolution of the target vector and a kernel.
     ///
     /// # Arguments
@@ -200,7 +201,7 @@ impl<N: RealField, R1: Dim + DimName, C1: Dim + DimName> MatrixMN<N, R1, C1> whe
 
 fn convolve<N, R1, C1, R2, C2, S2>(mat: &MatrixMN<N,R1,C1>, kernel: &Matrix<N, R2, C2, S2>, target: &mut MatrixMN<N,R1,C1>, mat_rows: i32, mat_cols: i32)
     where
-        N: RealField,
+        N:  Scalar + ClosedMul<N> + ClosedAdd<N> + Zero + Identity<Additive>,
         R1: Dim,
         C1: Dim,
         R2: Dim,
diff --git a/tests/linalg/convolution.rs b/tests/linalg/convolution.rs
index 3aa0ee2a..5b8f491c 100644
--- a/tests/linalg/convolution.rs
+++ b/tests/linalg/convolution.rs
@@ -16,6 +16,11 @@ fn convolve_same_check(){
 
     assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7));
 
+    let actual_s_int =  Vector4::new(1, 4, 7, 10);
+    let expected_s_int = Vector4::new(1, 2, 3, 4).convolve_same(Vector2::new(1, 2));
+
+    assert_eq!(actual_s_int, expected_s_int);
+
     // Dynamic Tests
     let actual_d =  DVector::from_vec(vec![1.0, 4.0, 7.0, 10.0]);
     let expected_d = DVector::from_vec(vec![1.0, 2.0, 3.0, 4.0]).convolve_same(DVector::from_vec(vec![1.0, 2.0]));
@@ -51,7 +56,12 @@ fn convolve_full_check(){
     let actual_s =  Vector5::new(1.0, 4.0, 7.0, 10.0, 8.0);
     let expected_s = Vector4::new(1.0, 2.0, 3.0, 4.0).convolve_full(Vector2::new(1.0, 2.0));
 
-    assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7));
+    assert!(relative_eq!(actual_s, expected_s));
+
+    let actual_s_int =  Vector5::new(1, 4, 7, 10, 8);
+    let expected_s_int = Vector4::new(1, 2, 3, 4).convolve_full(Vector2::new(1, 2));
+
+    assert_eq!(actual_s_int, expected_s_int);
 
     // Dynamic Tests
     let actual_d =  DVector::from_vec(vec![1.0, 4.0, 7.0, 10.0, 8.0]);
@@ -141,6 +151,11 @@ fn convolve_same_mat_check(){
 
     assert!(relative_eq!(actual_s, expected_s, epsilon = 1.0e-7));
 
+    let actual_s_int =  Matrix5::from_vec( vec![3,4,4,4,3,4,5,5,5,4,4,5,5,5,4,4,5,5,5,4,3,4,4,4,3]);
+    let expected_s_int = Matrix5::from_element(1).smat_convolve_full(Matrix3::from_vec(vec![0,1,0,1,1,1,0,1,0]));
+
+    assert_eq!(actual_s_int, expected_s_int);
+
     let actual_d =  DMatrix::from_vec(5,5, vec![3.0,4.0,4.0,4.0,3.0,4.0,5.0,5.0,5.0,4.0,4.0,5.0,5.0,5.0,4.0,4.0,5.0,5.0,5.0,4.0,3.0,4.0,4.0,4.0,3.0]);
     let expected_d = DMatrix::from_element(5,5,1.0).dmat_convolve_full(DMatrix::from_vec(3,3,vec![0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0]));