A New Method of Blind Source Separation Using Single-Channel ICA Based on Higher-Order Statistics

<div>Singular values of the measured signal processed by the different <svg height="9.48169pt" id="M147" style="vertical-align:-0.2455406pt" version="1.1" viewbox="-0.0498162 -9.23615 17.3892 9.48169" width="17.3892pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z" id="g121-50"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="480" vert-adv-y="480"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,6.24,0)"><path d="M298 36L289 62C276 55 253 45 228 45C202 45 169 60 169 141V397H276C289 405 292 426 282 437H169V574L155 576L90 509V437H45L17 408L21 397H90V107C90 28 125 -12 188 -12C198 -12 213 -8 230 1L298 36Z" id="g121-114"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="305" vert-adv-y="305"></glyph.data></g><g transform="matrix(.013,0,0,-0.013,10.283,0)"><path d="M513 0V26C455 31 447 37 447 103V278C447 398 390 449 309 449C255 449 202 412 166 376V712C127 700 67 684 19 677V653C85 647 87 643 87 580V103C87 37 79 31 19 26L18 0H231V26C171 32 166 39 166 103V341C194 373 232 392 270 392C337 392 368 351 368 269V103C368 38 360 32 302 26V0H513Z" id="g121-102"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="534" vert-adv-y="534"></glyph.data></g></svg>-order cumulants slices.</div>

Mathematical Problems in Engineering

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Figure 3

Figure 3: A New Method of Blind Source Separation Using Single-Channel ICA Based on Higher-Order Statistics 