{"id":1833,"date":"2020-03-02T17:58:28","date_gmt":"2020-03-02T14:58:28","guid":{"rendered":"http:\/\/cms.atu.edu.iq\/?page_id=1833"},"modified":"2020-12-28T13:43:56","modified_gmt":"2020-12-28T13:43:56","slug":"%d8%a7%d9%84%d8%a8%d8%ad%d9%88%d8%ab-%d8%a7%d9%84%d9%85%d9%86%d8%b4%d9%88%d8%b1%d8%a9-%d8%af-%d9%87%d8%a7%d8%af%d9%8a-%d8%b9%d8%b0%d8%a7%d8%a8-%d8%ad%d9%85%d8%af","status":"publish","type":"page","link":"https:\/\/cms.atu.edu.iq\/?page_id=1833","title":{"rendered":"\u0627\u0644\u0628\u062d\u0648\u062b \u0627\u0644\u0645\u0646\u0634\u0648\u0631\u0629 – \u062f. \u0647\u0627\u062f\u064a \u0639\u0630\u0627\u0628 \u062d\u0645\u062f"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n
\u062a<\/strong><\/td>\n\n

\u0627\u0633\u0645 \u0627\u0644\u0628\u062d\u062b<\/strong><\/p>\n

play youtube<\/a>Port offers<\/a><\/p>\n<\/td>\n<\/tr>\n
1<\/strong><\/td>\n\n

Digitally Modulated Signals Identification Based on Artificial Neural Network<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

2<\/strong><\/td>\n\n

Digitally Modulated Signal Recognition based on Feature Extraction Optimization and Random Forest Classifier<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

3<\/strong><\/td>\n\n

A Proposed Identification Method for Multi-user Chirp Spread Spectrum Signals Based on Adaptive Neural-Fuzzy Inference System (ANFIS)<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

4<\/strong><\/td>\n\n

Frequency Hopping Spread Spectrum Recognition Based on Discrete Fourier Transform and Skewness and Kurtosis<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

5<\/strong><\/td>\n\n

Digitally Modulated Signals Recognition Based on Adaptive Neural-Fuzzy Inference System (ANFIS)<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

6<\/strong><\/td>\n\n

Identification method for m-ary frequency shift keying signals based on adaptive neural-fuzzy inference system (ANFIS) and discrete wavelet transform<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

7<\/strong><\/td>\n\n

Performance Enhancement of MPSK at High Data Rate<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n

8<\/strong><\/td>\n\n

Enhancement of Twins Fetal ECG Signal Extraction Based on Hybrid Blind Extraction Techniques<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\n

9<\/strong><\/p>\n<\/td>\n

\n

Influence of Layer Thickness and Infill Density on the Impact Strength of Carbon Particle and Polylactic Acid (CP\/PLA) Composite<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

\u062a \u0627\u0633\u0645 \u0627\u0644\u0628\u062d\u062b play youtubePort offers 1 Digitally Modulated Signals Identification Based on Artificial Neural Network 2 Digitally Modulated Signal Recognition based on Feature Extraction Optimization and Random Forest Classifier 3 A Proposed Identification Method for Multi-user Chirp Spread Spectrum Signals Based on Adaptive Neural-Fuzzy Inference System (ANFIS) 4 Frequency Hopping Spread Spectrum Recognition Based … Continued<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1833","page","type-page","status-publish","hentry"],"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/pages\/1833","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1833"}],"version-history":[{"count":0,"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=\/wp\/v2\/pages\/1833\/revisions"}],"wp:attachment":[{"href":"https:\/\/cms.atu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1833"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}