Titlebook: Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications; Peter Stavroulakis Book 2004 Springer-Verlag Berlin Heidelberg 2004 Track

省略

Fuzzy-Neural Applications in Handoff, change in a time slot, frequency band, codeword, or a combination of these, for time division multiple access (TDMA), frequency division multiple access (FDMA), code division multiple access (CDMA), or a hybrid scheme, respectively. The handoff process determines the spectral efficiency (i.e., the

瑣事

宮殿般

Book 2004ic systems have been applied as computational intelligence structural e- ments for the last 40 years. Computational intelligence as an independent sci- tific field has grown over the years because of the development of these str- tural elements. Neural networks have been revived since 1982 after the

Humble

Neuro-Fuzzy Applications in Speech Coding and Recognition,ppropriate coding model and in maintaining a high perceived quality of the decoded speech. On the other hand, in the field of speech recognition, a robust signal classification is fundamental in obtaining a good word recognition rate, also in the presence of high background noise levels.

不要不誠實

Image/Video Compression Using Neuro-Fuzzy Techniques,acceptable by the user. Two types of compression are possible, i.e., lossless and lossy.With lossless compression, there is no loss of information and therefore the image can be perfectly recovered. Lossy compression, on the other hand, is a trade-off, which results in less amount of data with a sacrifice to fidelity.

榮幸

Fuzzy-Neural Applications in Handoff,maximum number of calls that can be served in a given area) and the quality perceived by users. Efficient handoff algorithms cost-effectively preserve and enhance the capacity and Quality of Service (QoS) of communication systems.

歡樂東方

An Application of Neuro-Fuzzy Systems for Access Control in Asynchronous Transfer Mode Networks,k. Many methods or mechanisms have been proposed to function as the traffic policing in ATM networks. These conventional mechanisms can be categorized into two trends: Leaky Bucket (LB) and window mechanisms.

acquisition

絕緣

EPT

Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications978-3-642-18762-9Series ISSN 1860-4862 Series E-ISSN 1860-4870