http://thuvienso.thanglong.edu.vn//handle/TLU/6169 Wed, 08 Apr 2026 14:22:46 GMT 2026-04-08T14:22:46Z http://thuvienso.thanglong.edu.vn//handle/TLU/10345 Nhan đề : Hack audio : an introduction to computer programming and digital signal processing in MATLAB Tác giả : Tarr, Eric Tóm tắt : Hack Audio: An Introduction to Computer Programming and Digital Signal Processing in MATLAB provides an introduction for musicians and audio engineers interested in computer programming. It is intended for a range of readers including those with years of programming experience and those ready to write their first line of code. In the book, computer programming is used to create audio effects using digital signal processing. By the end of the book, readers implement the following effects: signal gain change, digital summing, tremolo, auto-pan, mid/side processing, stereo widening, distortion, echo, filtering, equalization, multi-band processing, vibrato, chorus, flanger, phaser, pitch shifter, auto-wah, convolution and algorithmic reverb, vocoder, transient designer, compressor, expander, and de-esser. Sách/Book Tue, 01 Jan 2019 00:00:00 GMT https://ikr.inceif.org/retrieve/9184341a-73bc-425a-b40d-7657cbad1b1f/TVS.000501_TV_ (Audio Engineering Society Presents) Eric Tarr - Hack Audio_ An Introduction to Computer Programming and Digital Signal Processing in MATLAB-Routledge (2018).pdf.jpg 2019-01-01T00:00:00Z http://thuvienso.thanglong.edu.vn//handle/TLU/6260 Nhan đề : Wireless sensor networks: a survey Tác giả : Akyildiz. I.F Tóm tắt : This paper describes the concept of sensor networks which has been made viable by the convergence of micro electro-mechanical systems technology, wireless communications and digital electronics. First, the sensing tasks and the potential sensor networks applications are explored, and a review of factors influencing the design of sensor networks is provided. Then, the communication architecture for sensor networks is outlined, and the algorithms and protocols developed for each layer in the literature are explored. Open research issues for the realization of sensor networks are also discussed. 2002 Published by Elsevier Science B.V Newspaper Tue, 01 Jan 2002 00:00:00 GMT https://ikr.inceif.org/retrieve/9ff732ec-3f0b-4e96-a444-fb4526788ba2/BB.0000790.pdf.jpg 2002-01-01T00:00:00Z http://thuvienso.thanglong.edu.vn//handle/TLU/6259 Nhan đề : Optimal hedge-algebras-based controller: Design and application Tác giả : Nguyen Cat Ho Tóm tắt : In previous papers, we introduced a new reasoning method based on quantifying linguistic domains, established a new fuzzy control algorithm, called hedge-algebras-based controller (HAC), and applied it to solve some fuzzy control problems. The HAC does not require fuzzy sets to provide the semantics of the linguistic terms used in the fuzzy rule system rather the semantics is obtained through the semantically quantifying mappings (SQMs). It was shown that the new method is very effective, i.e. for these problems it is always able to efficiently control the process toward the stable state. In the algebraic approach, the design of an HAC leads to the determination of the parameters of SQMs, which are the fuzziness measure of primary terms and linguistic hedges occurring in the fuzzy model, and the weights of a weighted averaging operator Newspaper Tue, 01 Jan 2008 00:00:00 GMT https://ikr.inceif.org/retrieve/3f8b1eb7-98d7-40b4-a5db-f2e1932bf012/BB.0000789.pdf.jpg 2008-01-01T00:00:00Z http://thuvienso.thanglong.edu.vn//handle/TLU/6258 Nhan đề : Ứng dụng đại số gia tử trong dự báo chuỗi thời gian mờ Tác giả : Nguyễn Cát Hồ Tóm tắt : Chuỗi thời gian mờ do Song & Chissom đưa ra trên tạp chí “Fuzzy Sets and Systems” năm 1993 đã được nghiên cứu rộng rãi trên thế giới cho mục đích dự báo. Tuy nhiên, độ chính xác của dự báo trên quan điểm xem xét chuỗi thời gian theo tiếp cận mờ của Song & Chissom còn chưa cao do phụ thuộc vào nhiều yếu tố. S.M Chen (1996) đã đề xuất mô hình dự báo chuỗi thời gian mờ rất hiệu quả chỉ sử dụng các tính toán số học đơn giản. Sau đó mô hình này được nghiên cứu cải tiến trong nhiều ứng dụng dự báo và đã có được nhiều kết quả chính xác hơn. Newspaper Fri, 01 Jan 2016 00:00:00 GMT https://ikr.inceif.org/retrieve/3fb1f340-a17a-409c-bd25-cd1e86d6e9f2/BB.0000788.pdf.jpg 2016-01-01T00:00:00Z