更多是少:信号处理和数据洪水.
1Department of Electrical and Computer Engineering, Rice University, Houston, TX 77251-1892, USA. richb@rice.edu
概括
数据洪水将传感系统转化为数据丰富的环境,需要新的设计和理论. 这种转变使先进的信息技术和科学发现成为可能.
科学领域:
- 传感器系统工程 传感器系统工程
- 信号处理理论信号处理理论
- 信息技术 信息技术 信息技术 信息技术
背景情况:
- 现代传感系统面临着数据泛滥,从数据贫穷的操作环境转向数据丰富的操作环境.
- 产生的大量数据可能会压倒当前的管理和处理能力.
研究的目的:
- 为应对传感系统数据泛滥所带来的挑战.
- 探索重新发明传感器系统设计和信号处理理论的必要性.
主要方法:
- 传感器系统中数据丰富环境的概念分析.
- 在大数据的背景下审查现有的信号处理理论.
- 探索潜在的系统设计调整.
主要成果:
- 数据泛滥需要从根本上重新设计传感器系统设计.
- 现有的信号处理理论需要进行重大更新,以管理庞大的数据集.
- 新方法对于有效利用数据丰富的传感系统信息至关重要.
结论:
- 重新发明传感器系统和信号处理对于管理数据泛滥至关重要.
- 成功的适应将释放出彻底新的信息技术.
- 这种演变为科学发现和数据利用提供了强大的新工具.
相关概念视频
Downsampling
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Upsampling
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Deconvolution
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Aliasing
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Reconstruction of Signal using Interpolation
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Sampling Theorem
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.


