diff --git a/out.csv b/out.csv
index 98e542f..61628a0 100644
--- a/out.csv
+++ b/out.csv
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diff --git a/src/fft.rs b/src/fft.rs
index 2c0ae60..ef0dc0f 100644
--- a/src/fft.rs
+++ b/src/fft.rs
@@ -1,16 +1,66 @@
-pub mod mixed_radix;
-pub mod radix2;
 pub mod dft;
+pub mod mixed_radix;
 pub mod rader;
+pub mod radix2;
 
-use crate::complex::Complex32;
+use crate::{
+    complex::Complex32,
+    fft::{dft::NaiveDFT, mixed_radix::MixedRadixFFT, rader::RaderFFT, radix2::Radix2FFT},
+};
 
 pub trait DFT {
     fn create(size: usize) -> Self
-        where Self: Sized;
+    where
+        Self: Sized;
 
     fn get_input(&mut self) -> &mut [Complex32];
     fn get_output(&self) -> &[Complex32];
 
     fn execute(&mut self);
 }
+
+pub fn create_fft(size: usize) -> Box<dyn DFT> {
+    if size == 1 {
+        return Box::new(NaiveDFT::create(size));
+    }
+    if size.count_ones() == 1 {
+        // TODO: Return hardcoded fft for small sized
+        return Box::new(Radix2FFT::create(size));
+    }
+
+    // Get factors
+    if is_prime(size) {
+        return Box::new(RaderFFT::create(size));
+    }
+
+    return Box::new(MixedRadixFFT::create(size));
+}
+
+// Utilities
+fn prime_factors(n: usize) -> Vec<usize> {
+    let mut factors = vec![];
+
+    let mut num = n;
+    // Divide num successively
+    while num != 1 {
+        // Try divisors from 2 up to n (included)
+        for i in 2..n + 1 {
+            // if i divides num, it is a prime factor (if it wasn't, then i would have prime
+            // factors that would divide into num before i)
+            if num % i == 0 {
+                factors.push(i);
+                num /= i;
+            }
+        }
+    }
+
+    // If n = 1 then it does not have any prime factors
+    // The prime factor decomposition theorem states that any integer
+    // greater than TWO has a unique decomposition
+
+    factors
+}
+
+pub fn is_prime(n: usize) -> bool {
+    prime_factors(n).len() == 1
+}
diff --git a/src/fft/mixed_radix.rs b/src/fft/mixed_radix.rs
index 9a17ce5..c9f2991 100644
--- a/src/fft/mixed_radix.rs
+++ b/src/fft/mixed_radix.rs
@@ -2,7 +2,10 @@
 
 use std::f32::consts::PI;
 
-use crate::{complex::Complex32, fft::{dft::NaiveDFT, DFT}};
+use crate::{
+    complex::Complex32,
+    fft::{DFT, create_fft, dft::NaiveDFT, prime_factors},
+};
 
 pub struct MixedRadixFFT {
     input_buffer: Box<[Complex32]>,
@@ -16,23 +19,23 @@ pub struct MixedRadixFFT {
     qfft: Box<dyn DFT>,
     pfft: Box<dyn DFT>,
 
-    staging_buffer: Box<[Complex32]>
+    staging_buffer: Box<[Complex32]>,
 }
 
 impl DFT for MixedRadixFFT {
     fn create(size: usize) -> Self {
         let q = decide_radix_factor(size);
         let p = size / q;
-        let qfft = NaiveDFT::create(q);
-        let pfft = NaiveDFT::create(p);
+        let qfft = create_fft(q);
+        let pfft = create_fft(p);
 
         MixedRadixFFT {
             input_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
             output_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
             size,
             twiddle_factors: compute_twiddle_factors(q, p),
-            qfft: Box::new(qfft),
-            pfft: Box::new(pfft),
+            qfft,
+            pfft,
 
             staging_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
             p,
@@ -40,43 +43,36 @@ impl DFT for MixedRadixFFT {
         }
     }
 
-    fn execute(&mut self) 
-    {
+    fn execute(&mut self) {
         // Perform p ffts of size q
-        for k0 in 0..self.p
-        {
+        for k0 in 0..self.p {
             // Copy samples into input buffer
-            for k1 in 0..self.q
-            {
+            for k1 in 0..self.q {
                 self.qfft.get_input()[k1] = self.input_buffer[k1 * self.p + k0];
             }
 
             self.qfft.execute();
 
-            for j0 in 0..self.q
-            {
+            for j0 in 0..self.q {
                 // "Store j0'th of k0'th fft into staging buffer"
-                self.staging_buffer[k0 * self.q + j0] = self.qfft.get_output()[j0] * self.twiddle_factors[k0 * self.q + j0];
+                self.staging_buffer[k0 * self.q + j0] =
+                    self.qfft.get_output()[j0] * self.twiddle_factors[k0 * self.q + j0];
             }
         }
 
         // Perform q ffts of size p
-        for j0 in 0..self.q
-        {
+        for j0 in 0..self.q {
             // Copy input
-            for k0 in 0..self.p
-            {
+            for k0 in 0..self.p {
                 self.pfft.get_input()[k0] = self.staging_buffer[k0 * self.q + j0];
             }
 
             self.pfft.execute();
 
-            for j1 in 0..self.p
-            {
+            for j1 in 0..self.p {
                 self.output_buffer[j1 * self.q + j0] = self.pfft.get_output()[j1];
             }
         }
-
     }
 
     fn get_input(&mut self) -> &mut [Complex32] {
@@ -88,15 +84,12 @@ impl DFT for MixedRadixFFT {
     }
 }
 
-fn compute_twiddle_factors(q: usize, p: usize) -> Box<[Complex32]>
-{
+fn compute_twiddle_factors(q: usize, p: usize) -> Box<[Complex32]> {
     let mut factors = vec![Complex32::zero(); q * p].into_boxed_slice();
     let n = p * q;
 
-    for i in 0..q
-    {
-        for j in 0..p
-        {
+    for i in 0..q {
+        for j in 0..p {
             factors[i * p + j] = Complex32::cexp(2. * PI / (n as f32));
         }
     }
@@ -116,32 +109,3 @@ fn decide_radix_factor(n: usize) -> usize {
     // Otherwise take next big prime
     return *factors.iter().skip(two_count).next().unwrap();
 }
-
-// Utilities
-fn prime_factors(n: usize) -> Vec<usize> {
-    let mut factors = vec![];
-
-    let mut num = n;
-    // Divide num successively
-    while num != 1 {
-        // Try divisors from 2 up to n (included)
-        for i in 2..n + 1 {
-            // if i divides num, it is a prime factor (if it wasn't, then i would have prime
-            // factors that would divide into num before i)
-            if num % i == 0 {
-                factors.push(i);
-                num /= i;
-            }
-        }
-    }
-
-    // If n = 1 then it does not have any prime factors
-    // The prime factor decomposition theorem states that any integer
-    // greater than TWO has a unique decomposition
-
-    factors
-}
-
-pub fn is_prime(n: usize) -> bool {
-    prime_factors(n).len() == 1
-}
diff --git a/src/fft/rader.rs b/src/fft/rader.rs
index b26be7f..10afe00 100644
--- a/src/fft/rader.rs
+++ b/src/fft/rader.rs
@@ -1,78 +1,74 @@
 // Implementation of raders's fft for prime sized ffts
 
-use std::f32::consts::PI;
+use std::{f32::consts::PI, ops::Deref};
 
-use crate::{complex::Complex32, fft::{dft::NaiveDFT, mixed_radix::is_prime, DFT}};
 use super::mixed_radix;
+use crate::{
+    complex::Complex32,
+    fft::{DFT, create_fft, dft::NaiveDFT, is_prime},
+};
+
+pub struct RaderFFT {
+    input_buffer: Box<[Complex32]>,
+    output_buffer: Box<[Complex32]>,
 
-pub struct RaderFFT
-{
-    input_buffer: Box<[Complex32]>, 
-    output_buffer: Box<[Complex32]>, 
-    
     size: usize,
     g: usize,
 
     // Fourrier transform of the exponential terms
     convolution_operand: Box<[Complex32]>,
-    convolution_fft: NaiveDFT, // TODO: Use fft
+    convolution_fft: Box<dyn DFT>, // TODO: Use fft
+    permutation: Box<[usize]>,
 }
 
-impl DFT for RaderFFT
-{
+impl DFT for RaderFFT {
     fn create(size: usize) -> Self
-        where Self: Sized {
-            let g = compute_prime_primitive_root(size);
-            RaderFFT
-            {
-                input_buffer: vec![Complex32::zero(); size].into_boxed_slice(), 
-                output_buffer: vec![Complex32::zero(); size].into_boxed_slice(), 
+    where
+        Self: Sized,
+    {
+        let g = compute_prime_primitive_root(size);
+        let permutation: Box<[usize]> = (0..(size - 1)).map(|i| exp_mod(g, i + 1, size)).collect();
+        RaderFFT {
+            input_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
+            output_buffer: vec![Complex32::zero(); size].into_boxed_slice(),
 
-                size,
-                g,
-                
-                convolution_operand: compute_convolution_operand(size, g),
-                convolution_fft: NaiveDFT::create(size - 1),
-            }
+            size,
+            g,
+
+            convolution_operand: compute_convolution_operand(size, &permutation),
+            convolution_fft: Box::new(NaiveDFT::create(size - 1)),
+            permutation,
+        }
     }
 
     fn execute(&mut self) {
-
-        // Copy to convolution fft with permutation
-        for i in 0..(self.size - 1)
-        {
-            self.convolution_fft.get_input()[i] = self.input_buffer[exp_mod(self.g, self.size - 1 - i - 1, self.size)];
+        for i in 0..(self.size - 1) {
+            self.convolution_fft.get_input()[i] =
+                self.input_buffer[self.permutation[self.size - 1 - i - 1]]
         }
 
         self.convolution_fft.execute();
 
-        // Convolve (use output buffer as staging buffer)
-        self.output_buffer
-            .iter_mut()
-            .skip(1)
-            .zip(self.convolution_operand.iter())
-            .zip(self.convolution_fft.get_output().iter())
-            .for_each(|((dest, a), b)| *dest = *a * *b);
-
-        // Add first sample as DC-offset
-        //self.output_buffer[1] = self.output_buffer[1] + self.input_buffer[0];
-
-        // Copy to input
-        self
-            .convolution_fft
-            .get_input()
-            .iter_mut()
-            .zip(self.output_buffer.iter().skip(1))
-            .for_each(|(dest, x)| *dest = - *x);
-
-        self.convolution_fft.execute(); // Inverse fft
-
-        // Copy to output buffer : n - 1 terms to copy
-        for i in 1..(self.size)
-        {
-            self.output_buffer[i] = 
-                self.convolution_fft.get_output()[exp_mod(self.g, i, self.size) - 1] / (self.size as f32 - 1.) + self.input_buffer[0];
+        // Use output buffer as staging buffer
+        for i in 0..(self.size - 1) {
+            self.output_buffer[i] =
+                self.convolution_fft.get_output()[i] * self.convolution_operand[i];
         }
+
+        for i in 0..(self.size - 1) {
+            self.convolution_fft.get_input()[i] = self.output_buffer[self.size - 1 - i - 1];
+        }
+        self.convolution_fft.get_input()[0] =
+            self.convolution_fft.get_input()[0] + self.input_buffer[0];
+
+        // Compute ifft to obtain convolution
+        self.convolution_fft.execute();
+
+        for i in 0..(self.size - 1) {
+            self.output_buffer[self.permutation[i]] =
+                self.convolution_fft.get_output()[i] / (self.size - 1) as f32;
+        }
+
         self.output_buffer[0] = self.input_buffer.iter().copied().sum();
     }
 
@@ -83,46 +79,39 @@ impl DFT for RaderFFT
     fn get_output(&self) -> &[Complex32] {
         &self.output_buffer
     }
-
 }
 
-pub fn compute_convolution_operand(n: usize, g: usize) -> Box<[Complex32]>
-{
-    println!("TODO: Change to better fft");
-    let mut fft = NaiveDFT::create(n - 1); //TODO: Use fft
+pub fn compute_convolution_operand(n: usize, permutation: &[usize]) -> Box<[Complex32]> {
+    //let mut fft = create_fft(n - 1);
+    let mut fft = NaiveDFT::create(n - 1);
 
-    fft.get_input().iter_mut().enumerate()
-        .for_each(|(i, x)| *x = Complex32::cexp(- 2. * PI * (exp_mod(g, i + 1, n) as f32) / (n as f32)));
+    fft.get_input()
+        .iter_mut()
+        .enumerate()
+        .for_each(|(i, x)| *x = Complex32::cexp(-2. * PI * (permutation[i] as f32) / (n as f32)));
     fft.execute();
-    fft.get_output().iter().map(|x| *x).collect::<Vec<_>>().into_boxed_slice()
+    fft.get_output().iter().copied().collect()
 }
 
-
-
-pub fn compute_prime_primitive_root(n: usize) -> usize
-{
+pub fn compute_prime_primitive_root(n: usize) -> usize {
     assert!(is_prime(n));
 
     let phi = n - 1; // Euler's totient for n prime
 
     // Test all candidates
-    for i in 1..(n + 1)
-    {
-        // Find multiplicative order of i 
+    for i in 1..(n + 1) {
+        // Find multiplicative order of i
         let mut val = i;
         let mut order = 1;
-        for j in 0..n
-        {
-            if val == 1 
-            {
+        for j in 0..n {
+            if val == 1 {
                 break;
             }
             val = (val * i) % n;
             order += 1;
         }
-        
-        if order == phi
-        {
+
+        if order == phi {
             return i;
         }
     }
@@ -130,31 +119,21 @@ pub fn compute_prime_primitive_root(n: usize) -> usize
     unreachable!("Prime must have primitive root");
 }
 
-pub fn exp_mod(n: usize, exp: usize, m: usize) -> usize
-{
-    let mut num = n % m;
-    let mut acc = 1;
-    let mut exp = exp;
-    if exp == 0
-    {
-        return 1;
+pub fn exp_mod(mut n: usize, mut exp: usize, m: usize) -> usize {
+    if m == 1 {
+        return 0;
     }
 
-    while exp != 1
-    {
-        if exp % 2 == 0
-        {
-            num = (num * num) % m;
-            exp /= 2;
-        }
-        else
-        {
-            acc = (acc * n) % m;
-            exp -= 1;
-            num = num * num % m;
-            exp /= 2;
+    n %= m;
+    let mut r = 1;
+    while exp > 0 {
+        if exp % 2 == 1 {
+            r = (r * n) % m;
         }
+
+        n = (n * n) % m;
+        exp >>= 1;
     }
 
-    (num * acc) % m
+    r
 }
diff --git a/src/main.rs b/src/main.rs
index 43c1be4..3ac6981 100644
--- a/src/main.rs
+++ b/src/main.rs
@@ -12,11 +12,17 @@ mod nco;
 
 use bfsk::BFSKMod;
 use complex::Complex;
-use fft::rader;
 use complex::Complex32;
+use fft::rader;
 use nco::Nco;
 
-use crate::fft::{dft::NaiveDFT, mixed_radix::MixedRadixFFT, rader::{compute_prime_primitive_root, RaderFFT}, radix2::Radix2FFT, DFT};
+use crate::fft::{
+    DFT, create_fft,
+    dft::NaiveDFT,
+    mixed_radix::MixedRadixFFT,
+    rader::{RaderFFT, compute_prime_primitive_root, exp_mod},
+    radix2::Radix2FFT,
+};
 
 // Utilities
 fn map<T>(input: T, in_min: T, in_max: T, out_min: T, out_max: T) -> T
@@ -38,16 +44,18 @@ fn test() {
     let freq1 = 2. * PI / 4.0;
     let freq2 = 2. * PI / 8.0;
 
+    let sample_count = 4799;
+
     let mut o1 = Nco::new(freq1);
     let mut o2 = Nco::new(freq2);
 
-    let mut fft = RaderFFT::create(4799);
-    let mut dft = NaiveDFT::create(4799);
+    let mut fft = RaderFFT::create(sample_count);
+    //let mut dft = NaiveDFT::create(sample_count);
     let vals = fft.get_input();
-    let vals_dft = dft.get_input();
-    for (x, y) in vals.iter_mut().zip(vals_dft.iter_mut()) {
+    //let vals_dft = dft.get_input();
+    for x in vals.iter_mut() {
         *x = o1.cexp() + o2.cexp();
-        *y = *x;
+        //*y = *x;
         //*x = o2.cexp(); //+ o2.cexp();
         //*x = *x * (1. / x.mag());
         o1.step();
@@ -55,14 +63,20 @@ fn test() {
     }
 
     fft.execute();
+    //dft.execute();
     let output = fft.get_output();
 
     let mut f = File::create("out.csv").unwrap();
-    for (i, (v, v2)) in output.iter().zip(dft.get_output()).enumerate() {
+    for (i, v) in output.iter().enumerate() {
         f.write_all(
-            format!("{},{},{},\n", i as f32 / 8192., v.mag(), v2.mag())
-                .to_string()
-                .as_bytes(),
+            format!(
+                "{},{},\n",
+                i as f32 / sample_count as f32,
+                v.mag(),
+                //v2.mag()
+            )
+            .to_string()
+            .as_bytes(),
         )
         .unwrap();
     }