{"id":4720,"date":"2011-07-10T12:53:36","date_gmt":"2011-07-10T09:53:36","guid":{"rendered":"http:\/\/hgpu.org\/?p=4720"},"modified":"2011-07-10T12:53:36","modified_gmt":"2011-07-10T09:53:36","slug":"implementation-of-stereophonic-acoustic-echo-canceller-on-nvidia-geforce-graphics-processing-unit","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4720","title":{"rendered":"Implementation of stereophonic acoustic echo canceller on nVIDIA GeForce graphics processing unit"},"content":{"rendered":"<p>This paper presents an implementation of a stereophonic acoustic echo canceller on nVIDIA GeForce graphics processor and CUDA software development environment. For efficiency, fast shared memory has been used as much as possilbe. A tree adder is introduced to reduce the cost for summing thread outputs up. The performance evaluation results suggest that Even a low-cost GPU&#8217;s with a small number of shader processor greatly helps the echo cancellation for low-cost PC-based teleconferencing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents an implementation of a stereophonic acoustic echo canceller on nVIDIA GeForce graphics processor and CUDA software development environment. For efficiency, fast shared memory has been used as much as possilbe. A tree adder is introduced to reduce the cost for summing thread outputs up. The performance evaluation results suggest that Even a [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[89,3,41],"tags":[849,14,20,357,1789],"class_list":["post-4720","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-paper","category-signal-processing","tag-acoustics","tag-cuda","tag-nvidia","tag-nvidia-geforce-8800-gts","tag-signal-processing"],"views":2061,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4720","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4720"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4720\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}