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NyquistsTheorem°úShannonsTheorem
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¡á Nyquist`s Theorem
Analog signalÀ» samplingÇÏ¿© digitalÈ­ ÇÒ¶§, ±× ½ÃÁ¡À» °áÁ¤ÇÏ´Â sampling ÁÖ±â´Â
¿ø·¡ signalÀÇ 2¹è ÀÌ»óÀÌ µÇ¾î¾ß ÇÑ´Ù´Â °ÍÀε¥, ±×°ÍÀº ½Ã±×³ÎÀÇ Power spectral desity¶ó´Â
ÇüÅÂÀÇ ÀÏÁ¾ÀÇ Fourier transform¿¡ ÀÇÇÑ frequency domain¿¡¼­ÀÇ ÇüÅ ºñ±³¿¡ ÀÇÇØ¼­ Áõ¸íÀÌ
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Sampling frequency°¡ original signalÀÇ µÎ¹è°¡ µÇ¾î¾ß¸¸ ±× ¿ø·¡ÀÇ signalÀÇ energy¿Í Á¤º¸¸¦
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¢º Nyquist frequency (³ªÀÌÄû½ºÆ® Á֯ļö) : ¾Æ³¯·Î±× ½ÅÈ£¸¦ µðÁöÅ» ½ÅÈ£·Î Ç¥ÁØÈ­ÇÏ´Â °æ¿ì
Ç¥º»È­µÈ ºÎÈ£ ½ÅÈ£¸¦ Á¤È®ÇÏ°Ô ¾Æ³¯·Î±× ½ÅÈ£·Î Àç»ýÇϱâ À§ÇÑ Ç¥º»È­ Á֯ļö¶ó ÇÑ´Ù.
ºÎÈ£Àü¼ÛÀÇ °üÁ¡¿¡¼­´Â ºÎÈ£°£¿¡ °£¼·ÀÌ ¾øÀÌ Àü¼ÛÇÒ ¼ö ÀÖ´Â ºÎÈ£ ¼Óµµ¸¦ ³ªÀÌÄû½ºÆ® Á֯ļö
¶ó Çϸç, ÀÌ´Â ºÎÈ£°¡ °®´Â ÃÖ´ë Á֯ļöÀÇ 2 ¹èÀÌ´Ù. ¶ÇÇÑ ºÎÈ£°£ÀÌ °£¼··®À» ÃÖ¼Ò·Î ÇÏ´Â
ÆÄÇüÀ» ³ªÀÌÄû½ºÆ® Á¦ 1 ±âÁØ (ÀÓÆÞ½º ÀÀ´ä ÆÄÇü¿¡¼­ ½Ã°£ Ãà°úÀÇ µî°£°Ý ±³Â÷) À» ¸¸Á·½ÃŰ
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¢º Fourier series (Ǫ¸®¿¡ ±Þ¼ö) : ¸ð¡¦(»ý·«)



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