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Multi-Dimensional Photonic Processing by Discrete-Domain Approach
Published in Le Nguyen Binh, Photonic Signal Processing, 2019
It is evident that the fiber-optic signal processing technology presents a new direction in the usage of optical fiber, lasers, and photonics technologies, which are evolving very fast. In34 an incoherent signal processing system operating at 100 MHz is demonstrated. The authors note that raising this capability to over 10 GHz is a relatively straightforward procedure involving shorter fiber lengths and lasers and detectors with faster rise and fall time. They also note that conventional digital signal processing and analog signal processing techniques are limited in their usefulness for signal bandwidths exceeding one or two GHz. Current research efforts on fiber-optic signal processing on lightwaves of the millimeter wavelength region will allow signal processing at bandwidths of up to 100 GHz, even to THz region, if parametric amplification is employed. The field of 2-D signal processing which requires ultra-fast processing capability has a great deal to gain from the usage of the high-speed processing capability of fiber-optic architectures. Particularly with the fast pace of research and inventions of photonic circuits reaching the nano-scale employing photonic crystal wave guiding techniques, will allow multi-dimensional processing in the photonic domain flourishing in the near future.
In-Situ Metrology
Published in Robert Doering, Yoshio Nishi, Handbook of Semiconductor Manufacturing Technology, 2017
Once the sensor signal is obtained (see Section 25.2.3.2), it has to be processed to derive the parameters of interest. In some cases, signal processing requires the down-conversion of the RF signals to a lower frequency that is more easily digitized. Once in the digital domain, DSP algorithms provide a very efficient and flexible way to process these sensor signals. In contrast to available analog signal processing methods, digital signal processing is done completely with software, not hardware. Hence, the flexibility of calculation and calibration algorithms is very high. Any improvements to sensor or calculation technology can be implemented in software—drastically reducing the design cycle for improvements in the signal processing technology. Another important advantage of having a DSP-based embedded system in the design is completely self-contained operation. Additional hardware is not necessary to support operation of the unit because all calibration information can be stored in DSP nonvolatile memory. In addition, the DSP can allow for user selectable high speed filtering of data.
Use of Rare Earth Materials in Ultra-Broadband Microwave and mm-Wave Receivers
Published in A. R. Jha, Deployment of Rare Earth Materials in Microware Devices, RF Transmitters, and Laser Systems, 2019
According to the writers of paper [2], the high computational rates required for modern electromagnetic-environmental-signal RF receivers are the main reason for the design and development of channelized RF receivers. To meet the high computational rates, Fourier transform technology is necessary for wide-band processing signal functions. It will be interesting to compare the computation rates for the analog signal processing and digital signal processing techniques. It should be stated that the computational power of analog channelization must be quantified in terms of computer performance capability.
Voltage mode and trans-admittance mode first-order universal filters employing DV-EXCCCII
Published in Australian Journal of Electrical and Electronics Engineering, 2022
Although digital signal processing has continued to rule the globe, analog signal processing remains indispensable in some applications. Amplifiers, waveform generators, continuous-time filters, etc., are some circuits where analog signal processing is desired. Filters are an important research topic in an analog system. These circuits have applications in communication, signal processing, control systems, and instrumentation. There are several ways to categorise filters. It can be classified based on the number of inputs and outputs used to realise the filter circuit. This results in SISO (Single Input Single Output), SIMO (Single Input Multi-Output), MISO (Multi-Input Single Output), and MIMO (Multi-Input Multi-Output) filters. Another way of classification is based on the mode of operation of the circuit, that is, CM (Current Mode), VM (Voltage Mode), TAM (Trans-admittance Mode), and TIM (Trans-impedance Mode).
CMOS voltage and current feedback opamps: a comparison between two similar topologies
Published in International Journal of Electronics Letters, 2021
Hervé Barthélemy, Valentin Gies, Stéphane Meillère, Rémy Vauché, Edith Kussener, Manon Fourniol
Because they offer the possibility to realise a quasi-linear amplification, operational feedback amplifiers (Black, 1977) play an essential role in a huge number of electronic applications. Most of these applications concern analog signal processing based on amplifiers, filters and oscillators. An operational transconductance amplifier OTA (input) in series with a VB (output) allows to describe the VFOA; note that connection node between the OTA output and the VB input form a high impedance node (Call here Z) which allows to create the opamp high open-loop gain. In a similar way, the OTC (input) in series with a VB permits to describe the CFOA; the high impedance node Z is the node between the OTA output and VB input. The OTC description (Barthélemy, Vauché, Giès, Bourdel, & Gaubert, 2018) is useful, because it allows to describe each type of CFOA input stages (Barthélemy et al., 2018).