diff --git a/src/Numerics/Numerics.csproj b/src/Numerics/Numerics.csproj
index f23f0efa..c724bab7 100644
--- a/src/Numerics/Numerics.csproj
+++ b/src/Numerics/Numerics.csproj
@@ -230,6 +230,7 @@
     <Compile Include="SpecialFunctions\Logistic.cs" />
     <Compile Include="SpecialFunctions\TestFunctions.cs" />
     <Compile Include="Statistics\ArrayStatistics.cs" />
+    <Compile Include="Statistics\ArrayStatistics.Complex.cs" />
     <Compile Include="Statistics\ArrayStatistics.Int32.cs" />
     <Compile Include="Statistics\ArrayStatistics.Single.cs" />
     <Compile Include="Statistics\MovingStatistics.cs" />
diff --git a/src/Numerics/Statistics/ArrayStatistics.Complex.cs b/src/Numerics/Statistics/ArrayStatistics.Complex.cs
new file mode 100644
index 00000000..62a1e351
--- /dev/null
+++ b/src/Numerics/Statistics/ArrayStatistics.Complex.cs
@@ -0,0 +1,167 @@
+// <copyright file="ArrayStatistics.Complex.cs" company="Math.NET">
+// Math.NET Numerics, part of the Math.NET Project
+// http://numerics.mathdotnet.com
+// http://github.com/mathnet/mathnet-numerics
+// http://mathnetnumerics.codeplex.com
+//
+// Copyright (c) 2009-2015 Math.NET
+//
+// Permission is hereby granted, free of charge, to any person
+// obtaining a copy of this software and associated documentation
+// files (the "Software"), to deal in the Software without
+// restriction, including without limitation the rights to use,
+// copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the
+// Software is furnished to do so, subject to the following
+// conditions:
+//
+// The above copyright notice and this permission notice shall be
+// included in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+// OTHER DEALINGS IN THE SOFTWARE.
+// </copyright>
+
+using System;
+
+namespace MathNet.Numerics.Statistics
+{
+#if NOSYSNUMERICS
+    using Complex64 = Numerics.Complex;
+#else
+    using Complex64 = System.Numerics.Complex;
+#endif
+
+    public static partial class ArrayStatistics
+    {
+        /// <summary>
+        /// Returns the smallest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static Complex64 MinimumMagnitudePhase(Complex64[] data)
+        {
+            if (data.Length == 0)
+            {
+                return new Complex64(double.NaN, double.NaN);
+            }
+
+            double minMagnitude = double.PositiveInfinity;
+            Complex64 min = new Complex64(double.PositiveInfinity, double.PositiveInfinity);
+            for (int i = 0; i < data.Length; i++)
+            {
+                double magnitude = data[i].Magnitude;
+                if (double.IsNaN(magnitude))
+                {
+                    return new Complex64(double.NaN, double.NaN);
+                }
+                if (magnitude < minMagnitude || magnitude == minMagnitude && data[i].Phase < min.Phase)
+                {
+                    minMagnitude = magnitude;
+                    min = data[i];
+                }
+            }
+
+            return min;
+        }
+
+        /// <summary>
+        /// Returns the smallest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static Complex32 MinimumMagnitudePhase(Complex32[] data)
+        {
+            if (data.Length == 0)
+            {
+                return new Complex32(float.NaN, float.NaN);
+            }
+
+            float minMagnitude = float.PositiveInfinity;
+            Complex32 min = new Complex32(float.PositiveInfinity, float.PositiveInfinity);
+            for (int i = 0; i < data.Length; i++)
+            {
+                float magnitude = data[i].Magnitude;
+                if (float.IsNaN(magnitude))
+                {
+                    return new Complex32(float.NaN, float.NaN);
+                }
+                if (magnitude < minMagnitude || magnitude == minMagnitude && data[i].Phase < min.Phase)
+                {
+                    minMagnitude = magnitude;
+                    min = data[i];
+                }
+            }
+
+            return min;
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static Complex64 MaximumMagnitudePhase(Complex64[] data)
+        {
+            if (data.Length == 0)
+            {
+                return new Complex64(double.NaN, double.NaN);
+            }
+
+            double maxMagnitude = 0.0d;
+            Complex64 max = Complex64.Zero;
+            for (int i = 0; i < data.Length; i++)
+            {
+                double magnitude = data[i].Magnitude;
+                if (double.IsNaN(magnitude))
+                {
+                    return new Complex64(double.NaN, double.NaN);
+                }
+                if (magnitude > maxMagnitude || magnitude == maxMagnitude && data[i].Phase > max.Phase)
+                {
+                    maxMagnitude = magnitude;
+                    max = data[i];
+                }
+            }
+
+            return max;
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static Complex32 MaximumMagnitudePhase(Complex32[] data)
+        {
+            if (data.Length == 0)
+            {
+                return new Complex32(float.NaN, float.NaN);
+            }
+
+            float maxMagnitude = 0.0f;
+            Complex32 max = Complex32.Zero;
+            for (int i = 0; i < data.Length; i++)
+            {
+                float magnitude = data[i].Magnitude;
+                if (float.IsNaN(magnitude))
+                {
+                    return new Complex32(float.NaN, float.NaN);
+                }
+                if (magnitude > maxMagnitude || magnitude == maxMagnitude && data[i].Phase > max.Phase)
+                {
+                    maxMagnitude = magnitude;
+                    max = data[i];
+                }
+            }
+
+            return max;
+        }
+    }
+}
diff --git a/src/Numerics/Statistics/ArrayStatistics.Single.cs b/src/Numerics/Statistics/ArrayStatistics.Single.cs
index d7274f7d..4588c763 100644
--- a/src/Numerics/Statistics/ArrayStatistics.Single.cs
+++ b/src/Numerics/Statistics/ArrayStatistics.Single.cs
@@ -83,6 +83,54 @@ namespace MathNet.Numerics.Statistics
             return max;
         }
 
+        /// <summary>
+        /// Returns the smallest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static float MinimumAbsolute(float[] data)
+        {
+            if (data.Length == 0)
+            {
+                return float.NaN;
+            }
+
+            float min = float.PositiveInfinity;
+            for (int i = 0; i < data.Length; i++)
+            {
+                if (Math.Abs(data[i]) < min || float.IsNaN(data[i]))
+                {
+                    min = Math.Abs(data[i]);
+                }
+            }
+
+            return min;
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static float MaximumAbsolute(float[] data)
+        {
+            if (data.Length == 0)
+            {
+                return float.NaN;
+            }
+
+            float max = 0.0f;
+            for (int i = 0; i < data.Length; i++)
+            {
+                if (Math.Abs(data[i]) > max || float.IsNaN(data[i]))
+                {
+                    max = Math.Abs(data[i]);
+                }
+            }
+
+            return max;
+        }
+
         /// <summary>
         /// Estimates the arithmetic sample mean from the unsorted data array.
         /// Returns NaN if data is empty or any entry is NaN.
diff --git a/src/Numerics/Statistics/ArrayStatistics.cs b/src/Numerics/Statistics/ArrayStatistics.cs
index dce356bf..de964c8f 100644
--- a/src/Numerics/Statistics/ArrayStatistics.cs
+++ b/src/Numerics/Statistics/ArrayStatistics.cs
@@ -57,7 +57,7 @@ namespace MathNet.Numerics.Statistics
                 return double.NaN;
             }
 
-            var min = double.PositiveInfinity;
+            double min = double.PositiveInfinity;
             for (int i = 0; i < data.Length; i++)
             {
                 if (data[i] < min || double.IsNaN(data[i]))
@@ -81,7 +81,7 @@ namespace MathNet.Numerics.Statistics
                 return double.NaN;
             }
 
-            var max = double.NegativeInfinity;
+            double max = double.NegativeInfinity;
             for (int i = 0; i < data.Length; i++)
             {
                 if (data[i] > max || double.IsNaN(data[i]))
@@ -93,6 +93,54 @@ namespace MathNet.Numerics.Statistics
             return max;
         }
 
+        /// <summary>
+        /// Returns the smallest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static double MinimumAbsolute(double[] data)
+        {
+            if (data.Length == 0)
+            {
+                return double.NaN;
+            }
+
+            double min = double.PositiveInfinity;
+            for (int i = 0; i < data.Length; i++)
+            {
+                if (Math.Abs(data[i]) < min || double.IsNaN(data[i]))
+                {
+                    min = Math.Abs(data[i]);
+                }
+            }
+
+            return min;
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the unsorted data array.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="data">Sample array, no sorting is assumed.</param>
+        public static double MaximumAbsolute(double[] data)
+        {
+            if (data.Length == 0)
+            {
+                return double.NaN;
+            }
+
+            double max = 0.0d;
+            for (int i = 0; i < data.Length; i++)
+            {
+                if (Math.Abs(data[i]) > max || double.IsNaN(data[i]))
+                {
+                    max = Math.Abs(data[i]);
+                }
+            }
+
+            return max;
+        }
+
         /// <summary>
         /// Estimates the arithmetic sample mean from the unsorted data array.
         /// Returns NaN if data is empty or any entry is NaN.
diff --git a/src/Numerics/Statistics/Statistics.cs b/src/Numerics/Statistics/Statistics.cs
index 2e2cd9ee..1abbe9d4 100644
--- a/src/Numerics/Statistics/Statistics.cs
+++ b/src/Numerics/Statistics/Statistics.cs
@@ -28,11 +28,17 @@
 // OTHER DEALINGS IN THE SOFTWARE.
 // </copyright>
 
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
 namespace MathNet.Numerics.Statistics
 {
-    using System;
-    using System.Collections.Generic;
-    using System.Linq;
+#if NOSYSNUMERICS
+    using Complex64 = Numerics.Complex;
+#else
+    using Complex64 = System.Numerics.Complex;
+#endif
 
     /// <summary>
     /// Extension methods to return basic statistics on set of data.
@@ -120,6 +126,118 @@ namespace MathNet.Numerics.Statistics
             return StreamingStatistics.Maximum(data.Where(d => d.HasValue).Select(d => d.Value));
         }
 
+        /// <summary>
+        /// Returns the minimum absolute value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The minimum value in the sample data.</returns>
+        public static double MinimumAbsolute(this IEnumerable<double> data)
+        {
+            var array = data as double[];
+            return array != null
+                ? ArrayStatistics.MinimumAbsolute(array)
+                : StreamingStatistics.MinimumAbsolute(data);
+        }
+
+        /// <summary>
+        /// Returns the minimum absolute value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The minimum value in the sample data.</returns>
+        public static float MinimumAbsolute(this IEnumerable<float> data)
+        {
+            var array = data as float[];
+            return array != null
+                ? ArrayStatistics.MinimumAbsolute(array)
+                : StreamingStatistics.MinimumAbsolute(data);
+        }
+
+        /// <summary>
+        /// Returns the maximum absolute value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The maximum value in the sample data.</returns>
+        public static double MaximumAbsolute(this IEnumerable<double> data)
+        {
+            var array = data as double[];
+            return array != null
+                ? ArrayStatistics.MaximumAbsolute(array)
+                : StreamingStatistics.MaximumAbsolute(data);
+        }
+
+        /// <summary>
+        /// Returns the maximum absolute value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The maximum value in the sample data.</returns>
+        public static float MaximumAbsolute(this IEnumerable<float> data)
+        {
+            var array = data as float[];
+            return array != null
+                ? ArrayStatistics.MaximumAbsolute(array)
+                : StreamingStatistics.MaximumAbsolute(data);
+        }
+
+        /// <summary>
+        /// Returns the minimum magnitude and phase value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The minimum value in the sample data.</returns>
+        public static Complex64 MinimumMagnitudePhase(this IEnumerable<Complex64> data)
+        {
+            var array = data as Complex64[];
+            return array != null
+                ? ArrayStatistics.MinimumMagnitudePhase(array)
+                : StreamingStatistics.MinimumMagnitudePhase(data);
+        }
+
+        /// <summary>
+        /// Returns the minimum magnitude and phase value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The minimum value in the sample data.</returns>
+        public static Complex32 MinimumMagnitudePhase(this IEnumerable<Complex32> data)
+        {
+            var array = data as Complex32[];
+            return array != null
+                ? ArrayStatistics.MinimumMagnitudePhase(array)
+                : StreamingStatistics.MinimumMagnitudePhase(data);
+        }
+
+        /// <summary>
+        /// Returns the maximum magnitude and phase value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The minimum value in the sample data.</returns>
+        public static Complex64 MaximumMagnitudePhase(this IEnumerable<Complex64> data)
+        {
+            var array = data as Complex64[];
+            return array != null
+                ? ArrayStatistics.MaximumMagnitudePhase(array)
+                : StreamingStatistics.MaximumMagnitudePhase(data);
+        }
+
+        /// <summary>
+        /// Returns the maximum magnitude and phase value in the sample data.
+        /// Returns NaN if data is empty or if any entry is NaN.
+        /// </summary>
+        /// <param name="data">The sample data.</param>
+        /// <returns>The minimum value in the sample data.</returns>
+        public static Complex32 MaximumMagnitudePhase(this IEnumerable<Complex32> data)
+        {
+            var array = data as Complex32[];
+            return array != null
+                ? ArrayStatistics.MaximumMagnitudePhase(array)
+                : StreamingStatistics.MaximumMagnitudePhase(data);
+        }
+
         /// <summary>
         /// Evaluates the sample mean, an estimate of the population mean.
         /// Returns NaN if data is empty or if any entry is NaN.
diff --git a/src/Numerics/Statistics/StreamingStatistics.cs b/src/Numerics/Statistics/StreamingStatistics.cs
index 4076c66e..8f9b1d6e 100644
--- a/src/Numerics/Statistics/StreamingStatistics.cs
+++ b/src/Numerics/Statistics/StreamingStatistics.cs
@@ -35,6 +35,12 @@ using MathNet.Numerics.Properties;
 
 namespace MathNet.Numerics.Statistics
 {
+#if NOSYSNUMERICS
+    using Complex64 = Numerics.Complex;
+#else
+    using Complex64 = System.Numerics.Complex;
+#endif
+
     /// <summary>
     /// Statistics operating on an IEnumerable in a single pass, without keeping the full data in memory.
     /// Can be used in a streaming way, e.g. on large datasets not fitting into memory.
@@ -51,7 +57,7 @@ namespace MathNet.Numerics.Statistics
         /// <param name="stream">Sample stream, no sorting is assumed.</param>
         public static double Minimum(IEnumerable<double> stream)
         {
-            var min = double.PositiveInfinity;
+            double min = double.PositiveInfinity;
             bool any = false;
 
             foreach (var d in stream)
@@ -74,7 +80,7 @@ namespace MathNet.Numerics.Statistics
         /// <param name="stream">Sample stream, no sorting is assumed.</param>
         public static float Minimum(IEnumerable<float> stream)
         {
-            var min = float.PositiveInfinity;
+            float min = float.PositiveInfinity;
             bool any = false;
 
             foreach (var d in stream)
@@ -97,7 +103,7 @@ namespace MathNet.Numerics.Statistics
         /// <param name="stream">Sample stream, no sorting is assumed.</param>
         public static double Maximum(IEnumerable<double> stream)
         {
-            var max = double.NegativeInfinity;
+            double max = double.NegativeInfinity;
             bool any = false;
 
             foreach (var d in stream)
@@ -120,7 +126,7 @@ namespace MathNet.Numerics.Statistics
         /// <param name="stream">Sample stream, no sorting is assumed.</param>
         public static float Maximum(IEnumerable<float> stream)
         {
-            var max = float.NegativeInfinity;
+            float max = float.NegativeInfinity;
             bool any = false;
 
             foreach (var d in stream)
@@ -136,6 +142,218 @@ namespace MathNet.Numerics.Statistics
             return any ? max : float.NaN;
         }
 
+        /// <summary>
+        /// Returns the smallest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static double MinimumAbsolute(IEnumerable<double> stream)
+        {
+            double min = double.PositiveInfinity;
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                if (Math.Abs(d) < min || double.IsNaN(d))
+                {
+                    min = Math.Abs(d);
+                }
+
+                any = true;
+            }
+
+            return any ? min : double.NaN;
+        }
+
+        /// <summary>
+        /// Returns the smallest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static float MinimumAbsolute(IEnumerable<float> stream)
+        {
+            float min = float.PositiveInfinity;
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                if (Math.Abs(d) < min || float.IsNaN(d))
+                {
+                    min = Math.Abs(d);
+                }
+
+                any = true;
+            }
+
+            return any ? min : float.NaN;
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static double MaximumAbsolute(IEnumerable<double> stream)
+        {
+            double max = 0.0d;
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                if (Math.Abs(d) > max || double.IsNaN(d))
+                {
+                    max = Math.Abs(d);
+                }
+
+                any = true;
+            }
+
+            return any ? max : double.NaN;
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static float MaximumAbsolute(IEnumerable<float> stream)
+        {
+            float max = 0.0f;
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                if (Math.Abs(d) > max || float.IsNaN(d))
+                {
+                    max = Math.Abs(d);
+                }
+
+                any = true;
+            }
+
+            return any ? max : float.NaN;
+        }
+
+        /// <summary>
+        /// Returns the smallest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static Complex64 MinimumMagnitudePhase(IEnumerable<Complex64> stream)
+        {
+            double minMagnitude = double.PositiveInfinity;
+            Complex64 min = new Complex64(double.PositiveInfinity, double.PositiveInfinity);
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                double magnitude = d.Magnitude;
+                if (double.IsNaN(magnitude))
+                {
+                    return new Complex64(double.NaN, double.NaN);
+                }
+                if (magnitude < minMagnitude || magnitude == minMagnitude && d.Phase < min.Phase)
+                {
+                    minMagnitude = magnitude;
+                    min = d;
+                }
+
+                any = true;
+            }
+
+            return any ? min : new Complex64(double.NaN, double.NaN);
+        }
+
+        /// <summary>
+        /// Returns the smallest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static Complex32 MinimumMagnitudePhase(IEnumerable<Complex32> stream)
+        {
+            float minMagnitude = float.PositiveInfinity;
+            Complex32 min = new Complex32(float.PositiveInfinity, float.PositiveInfinity);
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                float magnitude = d.Magnitude;
+                if (float.IsNaN(magnitude))
+                {
+                    return new Complex32(float.NaN, float.NaN);
+                }
+                if (magnitude < minMagnitude || magnitude == minMagnitude && d.Phase < min.Phase)
+                {
+                    minMagnitude = magnitude;
+                    min = d;
+                }
+
+                any = true;
+            }
+
+            return any ? min : new Complex32(float.NaN, float.NaN);
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static Complex64 MaximumMagnitudePhase(IEnumerable<Complex64> stream)
+        {
+            double maxMagnitude = 0.0d;
+            Complex64 max = Complex64.Zero;
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                double magnitude = d.Magnitude;
+                if (double.IsNaN(magnitude))
+                {
+                    return new Complex64(double.NaN, double.NaN);
+                }
+                if (magnitude > maxMagnitude || magnitude == maxMagnitude && d.Phase > max.Phase)
+                {
+                    maxMagnitude = magnitude;
+                    max = d;
+                }
+
+                any = true;
+            }
+
+            return any ? max : new Complex64(double.NaN, double.NaN);
+        }
+
+        /// <summary>
+        /// Returns the largest absolute value from the enumerable, in a single pass without memoization.
+        /// Returns NaN if data is empty or any entry is NaN.
+        /// </summary>
+        /// <param name="stream">Sample stream, no sorting is assumed.</param>
+        public static Complex32 MaximumMagnitudePhase(IEnumerable<Complex32> stream)
+        {
+            float maxMagnitude = 0.0f;
+            Complex32 max = Complex32.Zero;
+            bool any = false;
+
+            foreach (var d in stream)
+            {
+                float magnitude = d.Magnitude;
+                if (float.IsNaN(magnitude))
+                {
+                    return new Complex32(float.NaN, float.NaN);
+                }
+                if (magnitude > maxMagnitude || magnitude == maxMagnitude && d.Phase > max.Phase)
+                {
+                    maxMagnitude = magnitude;
+                    max = d;
+                }
+
+                any = true;
+            }
+
+            return any ? max : new Complex32(float.NaN, float.NaN);
+        }
+
         /// <summary>
         /// Estimates the arithmetic sample mean from the enumerable, in a single pass without memoization.
         /// Returns NaN if data is empty or any entry is NaN.
diff --git a/src/UnitTests/StatisticsTests/StatisticsTests.cs b/src/UnitTests/StatisticsTests/StatisticsTests.cs
index 73d0dace..3bc03f4f 100644
--- a/src/UnitTests/StatisticsTests/StatisticsTests.cs
+++ b/src/UnitTests/StatisticsTests/StatisticsTests.cs
@@ -1107,6 +1107,34 @@ namespace MathNet.Numerics.UnitTests.StatisticsTests
             var data = new double[] { 1, 2, double.NaN };
             Assert.That(double.IsNaN(StreamingStatistics.Entropy(data)));
         }
+
+        [Test]
+        public void MinimumMagnitudePhase()
+        {
+            var a = new[] { new Complex32(1.0f, 2.0f), new Complex32(float.PositiveInfinity, float.NegativeInfinity), new Complex32(-2.0f, 4.0f) };
+            Assert.That(ArrayStatistics.MinimumMagnitudePhase(a), Is.EqualTo(a[0]));
+        }
+
+        [Test]
+        public void MinimumMagnitudePhaseOfNaNIsNaN()
+        {
+            var a = new[] { new Complex32(1.0f, 2.0f), new Complex32(float.NaN, float.NegativeInfinity), new Complex32(-2.0f, 4.0f) };
+            Assert.That(ArrayStatistics.MinimumMagnitudePhase(a).IsNaN(), Is.True);
+        }
+
+        [Test]
+        public void MaximumMagnitudePhase()
+        {
+            var a = new[] { new Complex32(1.0f, 2.0f), new Complex32(float.PositiveInfinity, float.NegativeInfinity), new Complex32(-2.0f, 4.0f) };
+            Assert.That(ArrayStatistics.MaximumMagnitudePhase(a), Is.EqualTo(a[1]));
+        }
+
+        [Test]
+        public void MaximumMagnitudePhaseOfNaNIsNaN()
+        {
+            var a = new[] { new Complex32(1.0f, 2.0f), new Complex32(float.NaN, float.NegativeInfinity), new Complex32(-2.0f, 4.0f) };
+            Assert.That(ArrayStatistics.MaximumMagnitudePhase(a).IsNaN(), Is.True);
+        }
     }
 }