Mwepụ Spectral na Wiener Filtering
Mwepụ Spectral na Wiener nzacha bụ ihe a ma ama, tupu mmụta miri emi nke mbelata mkpọtụ.
Nchịkọta
They clean audio by estimating the noise spectrum and mathematically subtracting or attenuating it, and they still underpin many modern systems.
Ime miri emi
Ụzọ abụọ a na-arụ ọrụ na ngalaba ugboro mgbe obere oge Fourier gbanwere. Mwepụ Spectral na-atụle nkezi ike mkpọtụ, na-abụkarị n'oge oghere dị jụụ, wee wepụ ya na ụdịdị dị ukwuu nke etiti ọ bụla; ihe ọ bụla fọdụrụ na-ewere dị ka okwu. Ọ dị mfe ma dị ọnụ ala mana ọ na-achọ ịmepụta 'mkpọtụ egwu,' ụda na-adịte aka na-adịte aka site na mwepu na-ezughị okè na-ahapụ ọnụ ọgụgụ dịpụrụ adịpụ. Nzacha Wiener bụ nke dabara n'ụkpụrụ: ọ na-enweta uru kachasị mma maka ọnụọgụ ọnụọgụ ọnụọgụ ọ bụla iji belata mperi nke squared, na-ebu ibu site na nha mgbaàmà na mkpọtụ ha mere atụmatụ. Akpụkpọ anụ na-achịkwa okwu na-agafe; A na-ebelata nnukwu ọwa mmiri ndị mkpọtụ na-achị. Ha abụọ na-eche na mkpọtụ ahụ anaghị eguzo, nke na-egbochi ha megide ụda mberede na-agbanwe.
Nghọta nka nka
Uru Wiener n'ime bin bụ SNR / (SNR + 1), yabụ bins SNR dị elu na-edobe ọtụtụ ike ha ebe a na-ebelata obere SNR bins. Mwepu nke Spectral kama na-agbakọ ịdị ukwuu mwepu oke mkpọtụ echere na ọ ga-eru, wee tụda ala na-adịghị mma ka ọ bụrụ efu. Ha abụọ na-ejigharị usoro mkpọtụ mbụ mgbe ha na-arụgharị usoro ikuku, ebe ọ bụ na ntị mmadụ anaghị enwe mmetụta maka mperi usoro na obere okpokolo agba.
Mmetụta atụmatụ
Nweta na iru
Ọ na-eme ka nnweta ya dịkwuo mma site na ndegharị, ịkọ akụkọ, na ntụgharị olu.
Ọnụ ego na mmefu ego
Ndị otu mgbasa ozi nwere ike ibubata ọdịyo a na-egbu maramara ngwa ngwa site na iji obere mmefu ego.
Ọsọ na ọnụ ọgụgụ
Sistemụ na-eche ihu ndị ahịa nwere ike hazie mkparịta ụka n'ọtụtụ buru ibu.
Ọdịnihu nke Mwepụ Spectral na Wiener Filtering
Ụzọ ndị a adịghị apụ apụ; a na-etinye obi ha dum. Netwọk dị omimi na-amụtazi ihe nkpuchi nke Wiener nzacha enwetara site na nyocha, yana echiche uru dabere na SNR kpaliri nkpuchi oge na-eji na nkwalite okwu akwara ozi. Na-atụ anya ka a na-aga n'ihu na-eji dị ka n'ihu dị fechaa na ngwaike amachibidoro, dị ka ndị na-ebute ụzọ na-eme ka ụdị mmụta guzosie ike, yana dị ka ndị nchọpụta nwere ike ịkọwapụta usoro ọhụrụ megide.
Mmejuputa n'ezie n'ụwa
Ntọala mbelata mkpọtụ mkpọtụ na ndị editọ ọdịyo dị ka Audacity (mwepụ mkpọtụ spectral)
Nhicha olu na telephony na sistemụ VoIP ochie
Ngosi njedebe n'ihu tupu njirimara okwu na ibe agbakwunyere ike dị ala
Ịkwalite ọgụgụ isi n'usoro ihe enyemaka ịnụ ntị na usoro okwu
Ihe ize ndụ & okporo ụzọ nche
Iji olu eme ihe na ihe egwu mpụta ga-abawanye mgbe nkwenye na-efu.
Izi ezi nwere ike ịdaba n'ofe ụda olu, olumba ma ọ bụ gburugburu mkpọtụ.
Enwere ike imehie ọdịyo sịntetik dị ka ezigbo okwu na-enweghị akara doro anya.
Map mmejuputa
Nweta nkwenye doro anya maka ijide olu, imechi, na ijigharị.
Nwale ogo n'ofe ndị na-ekwu okwu dị iche iche yana ọnọdụ ndabere.
Kọwaa mgbe mmadụ ga-enyocha ma ọ bụ kwado nsonye.
Deba aha ọdịyo sịntetik ma debe ndekọ ihe ndekọ maka ịza ajụjụ.
Nọgide na-eme nchọpụta
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Spectral Subtraction and Wiener Filtering quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Ntuziaka na-esote
Mgbasa spectrogram Riffusion
Ajụjụ a na-ajụkarị
What is Spectral Subtraction and Wiener Filtering?
Mwepụ Spectral na Wiener nzacha bụ ihe a ma ama, tupu mmụta miri emi nke mbelata mkpọtụ. Ha na-ehicha ọdịyo site n'ịtụle ụdị mkpọtụ ụda na iwepụta ma ọ bụ ibelata ya na mgbakọ na mwepụ, ma ha ka na-akwado ọtụtụ usoro ọgbara ọhụrụ.
Kedu ihe na-akpasu iwe na-ejikọkarị ya na mwepu anya?
Mwepụ na-ezughị okè na-ahapụ ọnụ ọgụgụ dịpụrụ adịpụ nke na-ada ka ụda agha na-enweghị usoro, nke a na-akpọ mkpọtụ egwu.
N'ime ngalaba nke mwepu spectral na nzacha Wiener na-arụ ọrụ?
Ha abụọ na-agbanwe ọdịyo ka ọ bụrụ ngalaba ugboro site na mgbanwe Fourier dị mkpụmkpụ tupu nhazi.
Kedu ihe nzacha Wiener na-agbalị ibelata?
Wiener nzacha na-agbakọ uru nke na-ebelata mperi-squared, na-enye atụmatụ kacha mma ọnụ ọgụgụ.
Kedu ka mwepu spectral si akọwa ụdị ụda dị iche iche?
Ọ na-atụ nkezi ike mkpọtụ n'oge nkwụsịtụ ma ọ bụ oghere na-abụghị nke okwu, wee wepụ atụmatụ ahụ na etiti ọ bụla.
Enwere ike ịgbakọ uru Wiener dị n'ime bis dịka nke okwu?
Uru ya bụ SNR/(SNR+1), yabụ, a na-edobe bins-SNR dị elu yana obere SNR bins na-ebelata.