NDLI: A New Frequency Domain Speech Scrambling System Which Does Not Require Frame Synchronization

Content Provider	IEEE Xplore Digital Library
Author	Lin-Shan Lee Ger-Chih Chou Ching-Sung Chang
Copyright Year	1972
Abstract	Communication security is becoming more and more important today. There is thus an increasing interest in analog scramblers due to the desire for secure speech communications over existing telephone channels with standard telephone bandwidth at acceptable speech quality and reasonable cost. The concept of scrambling the sample values of the speech waveforms becomes attractive due to its higher degree of security compared to the traditional scramblers. But all these sample value scramblers require frame synchronization, i.e., the signal segments used in scrambling and descrambling processes have to be exactly the same for signal recovery. This complicates the implementation and makes the transmission very sensitive to channel conditions. In this paper, a new frequency domain scrambling algorithm is presented, which is an extension of the DFT scrambler previously proposed. The use of short-time Fourier analyis and the filter bank concept leads to the special feature that frame synchronization is completely unnecessary. This simplifies the implementation and improves the reliability and feasibility. The theoretical developments, simulation results, hardware implementation, and test results are all discussed in detail.
Starting Page	444
Ending Page	456
Page Count	13
File Size	1922849
File Format	PDF
ISSN	00906778
Volume Number	32
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1984-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency domain analysis Speech Frequency synchronization Telephony Signal processing Communication system security Oral communication Communication standards Bandwidth Costs
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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