Design and implementation of signal processing algorithms and architectures for communication and other applications

通信和其他应用的信号处理算法和架构的设计和实现

• 批准号: 1684-2011
• 负责人: Ahmad, Omair
• 金额: $ 2.91万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=568209
• 关键词: Design; implementation; signal; processing; algorithms

The field of digital signal processing (DSP) has experienced explosive growth during the past couple of decades. The DSP techniques have become integral parts of the products and services that we need or encounter in our daily lives. The research efforts of the applicant in this area during the past five years have led to some very concrete results that have been shared with the international scientific community, both from academia and industry, and have given rise to new ideas and directions that need to be further investigated. The overall objective of the proposed research is to develop efficient algorithms and architectures and to lay sound mathematical foundations for reliable processing of speech, image/video, image and genomic signals, and for their efficient software and hardware implementations for multimedia communication and other applications. The distortion of images by additive or multiplicative noise is common during their acquisition, compression, storage, transmission and reproduction. Presence of the noise makes the automatic interpretation of image data very difficult. Pitch estimation of noise-corrupted speech, and identification and modeling of noisy speech systems are vital for reliable design of speech communication systems. Emerging communication and information networks deal with high volumes of digital speech, image and video signals and with their transmission through over-congested communication channels. Fundamental to these activities are the signal compression, and pre- and post-processing of such signals. Efforts will be put to reach solutions to these problems through the design and implementation of DSP algorithms that are cost effective and superior in performance. Regulation of gene expressions is a dynamic process. Understanding of the gene interactions that contribute to certain diseases provide valuable information for pharmaceutical and biotechnology industries. Signal processing techniques for the analysis of genomic signals and for modeling of the dynamics of gene regulation will be developed. Discrete transforms are essential to signal processing tasks. To this end, new parameterized transforms capable of optimizing the performance of given applications will be investigated. Fast and efficient techniques for computing these transforms will be undertaken. Research efforts will also be directed towards efficient software and VLSI implementations of the algorithms developed in this proposal.

数字信号处理（DSP）领域在过去的几年中经历了爆炸式的增长。 几十年DSP技术已经成为我们所需要的产品和服务的组成部分， 在我们的日常生活中相遇。过去五年来，申请人在这一领域的研究工作取得了一些非常具体的成果，与国际学术界和工业界的科学界分享，并产生了新的想法和方向，需要进一步研究。提出的研究的总体目标是开发有效的算法和架构，奠定坚实的数学基础，可靠的语音，图像/视频，图像和基因组信号的处理，并为多媒体通信和其他应用程序的有效的软件和硬件实现。 在图像的采集、压缩、存储、传输和再现过程中，加性或乘性噪声对图像的失真是很常见的。噪声的存在使得图像数据的自动解释非常困难。噪声污染语音的基音周期估计以及含噪语音系统的辨识和建模对于语音通信系统的可靠性设计至关重要。新兴的通信和信息网络处理大量的数字语音、图像和视频信号，并通过过于拥挤的通信渠道进行传输。这些活动的基础是信号压缩，以及这些信号的预处理和后处理。将努力达到解决这些问题，通过设计和实现的DSP算法，是成本效益和上级的性能。基因表达调控是一个动态过程。了解导致某些疾病的基因相互作用为制药和生物技术行业提供了有价值的信息。将开发用于基因组信号分析和基因调控动力学建模的信号处理技术。离散变换对于信号处理任务是必不可少的。为此，将研究能够优化给定应用程序的性能的新的参数化变换。将采用快速有效的技术来计算这些变换。研究工作也将针对有效的软件和VLSI实现本提案中开发的算法。