diff --git a/src/proximalMaps/ProxLLR.jl b/src/proximalMaps/ProxLLR.jl
index 9745b2c0..79880ebb 100644
--- a/src/proximalMaps/ProxLLR.jl
+++ b/src/proximalMaps/ProxLLR.jl
@@ -30,7 +30,7 @@ LLRRegularization(λ;  shape::NTuple{N,TI}, blockSize::NTuple{N,TI} = ntuple(_ -
 
 performs the proximal map for LLR regularization using singular-value-thresholding
 """
-function prox!(reg::LLRRegularization{TR, N, TI}, x::AbstractArray{Tc}, λ::T) where {TR, N, TI, T, Tc <: Union{T, Complex{T}}}
+function prox!(reg::LLRRegularization, x::Union{AbstractArray{T}, AbstractArray{Complex{T}}}, λ::T) where {T <: Real}
     reg.fullyOverlapping ? proxLLROverlapping!(reg, x, λ) : proxLLRNonOverlapping!(reg, x, λ)
 end
 
@@ -101,7 +101,7 @@ end
 """
     norm(reg::LLRRegularization, x, λ)
 
-returns the value of the LLR-regularization term. The norm is only implemented for 2D, non-fully overlapping blocks. 
+returns the value of the LLR-regularization term. The norm is only implemented for 2D, non-fully overlapping blocks.
 """
 function norm(reg::LLRRegularization, x::Union{AbstractArray{T}, AbstractArray{Complex{T}}}, λ::T) where {T <: Real}
     shape = reg.shape
@@ -171,7 +171,7 @@ performs the proximal map for LLR regularization using singular-value-thresholdi
 function proxLLROverlapping!(reg::LLRRegularization{TR, N, TI}, x::AbstractArray{Tc}, λ::T) where {TR, N, TI, T, Tc <: Union{T, Complex{T}}}
     shape = reg.shape
     blockSize = reg.blockSize
-    
+
     x = reshape(x, tuple(shape..., length(x) ÷ prod(shape)))
 
     block_idx = CartesianIndices(blockSize)