feat:node-modules

node_modules/mathjs/lib/cjs/function/matrix/ifft.js

@@ -0,0 +1,43 @@
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.createIfft = void 0;
+var _array = require("../../utils/array.js");
+var _factory = require("../../utils/factory.js");
+var _is = require("../../utils/is.js");
+const name = 'ifft';
+const dependencies = ['typed', 'fft', 'dotDivide', 'conj'];
+const createIfft = exports.createIfft = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
+  let {
+    typed,
+    fft,
+    dotDivide,
+    conj
+  } = _ref;
+  /**
+   * Calculate N-dimensional inverse Fourier transform
+   *
+   * Syntax:
+   *
+   *     math.ifft(arr)
+   *
+   * Examples:
+   *
+   *    math.ifft([[2, 2], [0, 0]]) // returns [[{re:1, im:0}, {re:0, im:0}], [{re:1, im:0}, {re:0, im:0}]]
+   *
+   * See Also:
+   *
+   *      fft
+   *
+   * @param {Array | Matrix} arr    An array or matrix
+   * @return {Array | Matrix}       N-dimensional Fourier transformation of the array
+   */
+  return typed(name, {
+    'Array | Matrix': function (arr) {
+      const size = (0, _is.isMatrix)(arr) ? arr.size() : (0, _array.arraySize)(arr);
+      return dotDivide(conj(fft(conj(arr))), size.reduce((acc, curr) => acc * curr, 1));
+    }
+  });
+});