{
	"patcher" : 	{
		"fileversion" : 1,
		"appversion" : 		{
			"major" : 7,
			"minor" : 0,
			"revision" : 0,
			"architecture" : "x86",
			"modernui" : 1
		}
,
		"rect" : [ 177.0, 78.0, 365.0, 204.0 ],
		"bgcolor" : [ 1.0, 1.0, 1.0, 1.0 ],
		"bglocked" : 0,
		"openinpresentation" : 0,
		"default_fontsize" : 12.0,
		"default_fontface" : 0,
		"default_fontname" : "Arial",
		"gridonopen" : 0,
		"gridsize" : [ 15.0, 15.0 ],
		"gridsnaponopen" : 0,
		"statusbarvisible" : 2,
		"toolbarvisible" : 1,
		"lefttoolbarpinned" : 0,
		"toptoolbarpinned" : 0,
		"righttoolbarpinned" : 0,
		"bottomtoolbarpinned" : 0,
		"toolbars_unpinned_last_save" : 0,
		"tallnewobj" : 0,
		"boxanimatetime" : 200,
		"enablehscroll" : 1,
		"enablevscroll" : 1,
		"devicewidth" : 0.0,
		"description" : "cartopol~ Example",
		"digest" : "",
		"tags" : "c74example",
		"style" : "",
		"boxes" : [ 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-1",
					"maxclass" : "comment",
					"numinlets" : 1,
					"numoutlets" : 0,
					"patching_rect" : [ 9.0, 173.0, 207.0, 20.0 ],
					"style" : "",
					"text" : "resynthesize into the parent patch."
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-2",
					"maxclass" : "comment",
					"numinlets" : 1,
					"numoutlets" : 0,
					"patching_rect" : [ 101.0, 110.0, 228.0, 20.0 ],
					"style" : "",
					"text" : "convolve the signals (amplitude only)."
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-3",
					"linecount" : 2,
					"maxclass" : "comment",
					"numinlets" : 1,
					"numoutlets" : 0,
					"patching_rect" : [ 208.0, 68.0, 155.0, 33.0 ],
					"style" : "",
					"text" : "derive the amplitude and phase from the signal."
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-4",
					"maxclass" : "newobj",
					"numinlets" : 2,
					"numoutlets" : 0,
					"patching_rect" : [ 9.0, 149.0, 125.0, 22.0 ],
					"style" : "",
					"text" : "fftout~ 1 hamming"
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-5",
					"maxclass" : "newobj",
					"numinlets" : 2,
					"numoutlets" : 1,
					"outlettype" : [ "signal" ],
					"patching_rect" : [ 57.0, 110.0, 35.0, 22.0 ],
					"style" : "",
					"text" : "*~"
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-6",
					"maxclass" : "newobj",
					"numinlets" : 2,
					"numoutlets" : 1,
					"outlettype" : [ "signal" ],
					"patching_rect" : [ 9.0, 110.0, 36.0, 22.0 ],
					"style" : "",
					"text" : "*~"
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-7",
					"maxclass" : "newobj",
					"numinlets" : 1,
					"numoutlets" : 3,
					"outlettype" : [ "signal", "signal", "signal" ],
					"patching_rect" : [ 9.0, 31.0, 114.0, 22.0 ],
					"style" : "",
					"text" : "fftin~ 1 hamming"
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-8",
					"maxclass" : "newobj",
					"numinlets" : 1,
					"numoutlets" : 3,
					"outlettype" : [ "signal", "signal", "signal" ],
					"patching_rect" : [ 137.0, 31.0, 119.0, 22.0 ],
					"style" : "",
					"text" : "fftin~ 2 hamming"
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"hidden" : 1,
					"id" : "obj-9",
					"linecount" : 2,
					"maxclass" : "comment",
					"numinlets" : 1,
					"numoutlets" : 0,
					"patching_rect" : [ -18.0, 198.0, 381.0, 33.0 ],
					"style" : "",
					"text" : "You can use cartopol~ to extract amplitude and phase data from a real/imaginary pair of numbers (such as that put out by fftin~)."
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-10",
					"maxclass" : "comment",
					"numinlets" : 1,
					"numoutlets" : 0,
					"patching_rect" : [ 9.0, 7.0, 173.0, 20.0 ],
					"style" : "",
					"text" : "input two signals into a pfft~."
				}

			}
, 			{
				"box" : 				{
					"fontname" : "Arial",
					"fontsize" : 12.0,
					"id" : "obj-11",
					"maxclass" : "newobj",
					"numinlets" : 2,
					"numoutlets" : 2,
					"outlettype" : [ "signal", "signal" ],
					"patching_rect" : [ 137.0, 68.0, 69.0, 22.0 ],
					"style" : "",
					"text" : "cartopol~"
				}

			}
 ],
		"lines" : [ 			{
				"patchline" : 				{
					"destination" : [ "obj-5", 1 ],
					"disabled" : 0,
					"hidden" : 0,
					"midpoints" : [ 146.5, 99.0, 82.5, 99.0 ],
					"source" : [ "obj-11", 0 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-6", 1 ],
					"disabled" : 0,
					"hidden" : 0,
					"midpoints" : [ 146.5, 99.0, 35.5, 99.0 ],
					"source" : [ "obj-11", 0 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-4", 1 ],
					"disabled" : 0,
					"hidden" : 0,
					"midpoints" : [ 66.5, 139.5, 124.5, 139.5 ],
					"source" : [ "obj-5", 0 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-4", 0 ],
					"disabled" : 0,
					"hidden" : 0,
					"source" : [ "obj-6", 0 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-5", 0 ],
					"disabled" : 0,
					"hidden" : 0,
					"source" : [ "obj-7", 1 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-6", 0 ],
					"disabled" : 0,
					"hidden" : 0,
					"source" : [ "obj-7", 0 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-11", 1 ],
					"disabled" : 0,
					"hidden" : 0,
					"source" : [ "obj-8", 1 ]
				}

			}
, 			{
				"patchline" : 				{
					"destination" : [ "obj-11", 0 ],
					"disabled" : 0,
					"hidden" : 0,
					"source" : [ "obj-8", 0 ]
				}

			}
 ],
		"dependency_cache" : [  ],
		"snippetinfo" : 		{
			"name" : "cartopol~ Example",
			"objects" : "cartopol~",
			"tags" : "c74example",
			"description" : "cartopol~ Example",
			"image" : "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"
		}
,
		"embedsnapshot" : 0
	}

}